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PARK, POOGYEON (박부견)

Dept of Electrical Engineering(전자전기공학과)

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STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence rate:1||linear parameter varying systems:1||timedelay systems:1||delaydependent:1||finite precision arithmetic:1||delay systems:1||FEEDBACKSYSTEMS:1||decision feedback equalizers:1||dynamic output feedback:1||differential Riccati equation:1||finite impulse response (FIR):1||induced infinitynorm FIR filter:1||OPTIMIZATION TECHNIQUE:1||BOUNDED NOISE:1||LMI APPROACH:1||DEPENDENT ROBUST STABILIZATION:1||Delay systems:1||Dynamic outputfeedback control:1||STATEFEEDBACK:1||input saturation:1||parameterdependent Lyapunov function (PDLF):1||nonparallel distributed compensation (nonPDC) scheme:1||Delayed systems:1||STABILITY:14||STABILIZATION:12||DESIGN:10||LINEARSYSTEMS:9||HINFINITY CONTROL:8||Hinfinity performance:7||Adaptive filter:7||Adaptive filters:6||NONLINEARSYSTEMS:6||stability:5||NLMS:5||ROBUST STABILITY:4||CONTROL DESIGN:4||FACTORIZATION:4||CRITERIA:4||NEURALNETWORKS:3||deadbeat property:3||variable step size:3||spectral analysis:3||OBSERVERS:3||Hinfinity control:3||affine projection algorithm (APA):3||fault diagnosis:3||uncertainty:3||FIXEDINTERVAL SMOOTHER:3||OUTPUTFEEDBACK:3||DEPENDENT STABILITY:3||MATRIX:3||DELAY:3||transformer:3||parameterized linear matrix inequalities (PLMIs):3||STABILITY ANALYSIS:3||UNCERTAIN NEUTRAL SYSTEMS:3||Reciprocally convex approach:2||stabilization:2||receding horizon strategy:2||LYAPUNOV EQUATIONS:2||fault classification:2||robust stability:2||discrimination criteria:2||CRITERION:2||Fuzzy weightingdependent Lyapunov function (FWDLF):2||relaxation technique:2||OBSERVER:2||meansquare deviation (MSD):2||DESIGNS:2||PERFORMANCE:2||TIMEVARYING DELAY:2||STATESPACE MODELS:2||s:2||transfer function:2||LYAPUNOV:2||PERFORMANCE CONDITIONS:2||impulsive noise:2||SUBJECT:2||ACTUATOR SATURATION:2||H(infinity) control:2||Kalman filter:2||GUARANTEED COST CONTROL:2||power transformers:2||LIMITED INFORMATION:2||ADAPTIVE FILTER:2||Interval timevarying delays:2||Stability analysis:2||FILTER:2||closedloop stability:2||matrix bound:2||ALGEBRAIC RICCATI EQUATION:2||nonlinear system:2||frequency response analysis:2||Asymptotic stability:2||Triple integral terms:2||MSD analysis:2||RELAXED STABILITY:2||RICCATIEQUATIONS:2||shortcircuit fault:2||REGULATORS:2||NETWORKED CONTROLSYSTEMS:2||INPUT VECTORS:2||IDENTIFICATION:2||PARAMETERVARYING SYSTEMS:2||ROBUSTCONTROL:2||LMI CONDITIONS:2||MODELPREDICTIVE CONTROL:2||TIMEDELAY:2||FIR filter:2||state estimation:2||ABSOLUTE STABILITY:2||LONG DEADTIME:2||SMITH PREDICTOR:2||INTEGRATOR:2||LMI&apos:2||FREQUENCYRESPONSE ANALYSIS:2||STATE DELAY:2||STABILIZATION CONDITIONS:2||LMI:2||MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||STATE:2||POWER TRANSFORMERS:2||LPV SYSTEMS:2||DEPENDENT LYAPUNOV FUNCTIONS:2||Input quantization:2||ECHO CANCELLATION:2||Disturbance rejection:2||Input saturation:2||input constraints:2||RECEDING HORIZON CONTROL:2||TRACKING:2||EIGENVALUES:2||FEEDBACK STABILIZATION:2||defective phase:2||VARIABLESTRUCTURE CONTROL:2||hotrolling process:1||Variable stepsize:1||shape recognition:1||Affine projection:1||Robustness:1||Affine projection algorithm (APA):1||smoothing algorithms:1||Lyapunov methods:1||SPACE MODELS:1||single carrier:1||variable structure control:1||DYNAMICSYSTEMS:1||CNC:1||QUINTICSPLINE INTERPOLATION:1||model predictive control (MPC):1||finite impulse response (FIR) structure:1||MPSKtype modulus signals:1||delayed systems:1||receding horizon Hinfinity control:1||asymptotic stability:1||TRANSVERSAL FILTERS:1||Stability:1||IMPROVEMENT:1||L(2) gain:1||Timestamp:1||LMIBASED DESIGNS:1||Image stitching:1||updateinterval selection:1||ALGORITHM:1||UNCORRELATED GAUSSIAN DATA:1||receding horizon control:1||piecewise fuzzy weightingdependent Lyapunov function:1||uncertain systems:1||adaptive filters:1||ALGORITHMS:1||uncertain delay:1||selforthogonalization:1||state delay:1||tag anticollision:1||EQUATION:1||INPUT ESTIMATION:1||CONSTRAINTS:1||Variable structure control:1||LPV system:1||STATE QUANTIZATION:1||NETWORKS:1||Relaxation technique:1||normalized least mean square (NLMS):1||interval timevarying delays:1||DEPENDENT STABILITY ANALYSIS:1||extended inverse QR algorithm:1||Fuzzyweightingdependent Lyapunov function (FWDLF):1||STOCHASTIC STABILITY:1||PARAMETERS:1||crosscorrelation:1||RATES:1||disturbance rejection:1||stability condition:1||Correction:1||FAST TCP:1||MATRIX INEQUALITIES:1||outputfeedback:1||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):1||FEEDBACK CONTROLLERDESIGN:1||ROBUST STABILIZATION:1||affine projection sign algorithm (APSA):1||perimeter ratios:1||Stability criterion:1||State feedback:1||Biascompensated LS:1||Invariant set:1||stepsize scaler:1||robust filtering:1||NLMS ALGORITHM:1||fuzzy weightingdependent Lyapunov function (FWDLF):1||bounded real lemma:1||FEEDBACK:1||DISTURBANCE ATTENUATION:1||leastsquares lattice algorithms:1||multiple sloperestricted nonlinear:1||RFID systems:1||interpolator:1||ERROR STATE ESTIMATION:1||CHANNEL:1||constraints elimination:1||delay:1||SET:1||Onestepahead cost function:1||H(2) control:1||observerbased fuzzy control:1||statefeedback:1||hybrid QR/LLS algorithm:1||transfer function method:1||computer vision processes:1||NEF:1||COMPACTNESS:1||LYAPUNOV FUNCTIONAPPROACH:1||total leastsquares:1||Domain of attraction:1||innovativeness:1||Steadystate estimation error:1||switchingsystem control:1||DELAYS:1||SPACE:1||nonlinear control:1||BENCHMARK PROBLEM:1||NONLINEAR FEEDBACKSYSTEMS:1||LMIs:1||pertone equalizations:1||OFDM:1||passive tag:1||precision machining:1||convergence:1||integral inequality for delays:1||TRACKING CONTROL:1||Variable regularized leastsquares:1||Network traffic:1||Mean square stability:1||JUMP LINEARSYSTEMS:1||variancenormalized a priori backwards prediction errors:1||CONTROL INPUT:1||FILTERS:1||TAKAGISUGENOS FORM:1||NEUTRAL SYSTEMS:1||ORDER:1||GAIN:1||CONVERTER:1||Matching stepsize:1||Stage transition:1||multiaccesible communication networks:1||QUADRATIC OPTIMALCONTROL:1||TIME LINEARSYSTEMS:1||discretetime switching fuzzy systems:1||RTAC benchmark problem:1||normalized LSORL smoothers:1||orderrecursive structures geometric interpretation:1||sector and sloperestricted nonlinearities:1||mismatched uncertain systems:1||parametric interpolation:1||Kalman filtering:1||algebraic Riccati equation:1||separation principle:1||DISCRETETIMESYSTEMS:1||componentwise normbounded noises:1||relaxation technique (RT):1||Uncertain system:1||Linear matrix inequality:1||FUNCTIONALAPPROACH:1||adaptive filtering:1||SQUARES:1||H(infinity) performance:1||MANIPULATORS:1||INCOMPLETE TRANSITION DESCRIPTIONS:1||digital shape compactness measure:1||computer medical diagnosis:1||normalised Efactor:1||Variable matrixtype step size:1||Impulsive measurement noise:1||Robust filtering:1||Interval timevarying delay:1||UNCERTAIN LINEARSYSTEMS:1||normalized leastmeansquare (NLMS):1||scheduled step size:1||NORMALIZED LMS ALGORITHM:1||INPUTS:1||Two stage:1||Computational complexity:1||asymmetric network systems:1||bounded rates of parameter variations:1||guaranteed cost control:1||HYBRID SYSTEMS:1||FREQUENCYDOMAIN CONDITIONS:1||FREQUENCYDOMAIN EQUALIZATION:1||linear matrix inequalities:1||CURVE INTERPOLATORS:1||PREDICTIVE CONTROL:1||indefinite input noise covariances:1||BEAT OBSERVERS:1||dynamic outputfeedback controller:1||Equivalent optimality:1||Reciprocally convex combination:1||parameterizedlinearmatrix inequality (PLMI):1||Guaranteed cost:1||DISTURBANCES:1||computer vision:1||shape analysis:1||normalised discrete compactness measures:1||Regularization:1||CANCELLATION:1||Stepsize scaler:1||optimal step size:1||condition number:1||CONVERGENCE BEHAVIOR:1||NLMS ALGORITHMS:1||FAMILY:1||time delay systems:1||piecewise quadratic Lyapunov function:1||discretetime TakagiSugeno fuzzy systems:1||LPV controller:1||FEEDBACKCONTROL:1||EQUALIZATION:1||TIMEVARYING SYSTEMS:1||gainscheduled control:1||HINFINITY:1||CONTROLLER SYNTHESIS:1||DISTRIBUTED DELAYS:1||LyapunovRazumikhin theorem:1||relaxation scheme:1||OUTPUTFEEDBACK CONTROL:1||FORM:1||scheduled stepsize:1||STABILITYCRITERIA:1||Sign subband adaptive filter (SSAF):1||Impulsive noise:1||goodness compactness measure:1||Affine projection algorithm:1||Gram Schmidt process:1||periodic affine projection algorithm:1||subband sign adaptive filter:1||Fuzzy systems:1||Switching control:1||Parameterdependent Lyapunov function (PDLF):1||INTERVAL:1||noisy FIR model:1||impulsive measurement noise:1||Convergence r