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PARK, POOGYEON (박부견)

Dept of Electrical Engineering(전자전기공학과)

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STABILITY:26||STABILIZATION:21||DESIGN:20||LINEARSYSTEMS:17||Hinfinity performance:14||Adaptive filter:14||HINFINITY CONTROL:13||NONLINEARSYSTEMS:12||Adaptive filters:12||stability:10||NLMS:10||FACTORIZATION:8||CRITERIA:8||ROBUST STABILITY:8||UNCERTAIN NEUTRAL SYSTEMS:6||parameterized linear matrix inequalities (PLMIs):6||MATRIX:6||DEPENDENT STABILITY:6||OUTPUTFEEDBACK:6||FIXEDINTERVAL SMOOTHER:6||deadbeat property:6||Hinfinity control:6||affine projection algorithm (APA):6||OBSERVERS:6||variable step size:6||NEURALNETWORKS:6||uncertainty:6||CONTROL DESIGN:5||Reciprocally convex approach:4||STABILITY ANALYSIS:4||receding horizon strategy:4||transformer:4||Fuzzy weightingdependent Lyapunov function (FWDLF):4||relaxation technique:4||meansquare deviation (MSD):4||DESIGNS:4||PERFORMANCE:4||TIMEVARYING DELAY:4||STATESPACE MODELS:4||s:4||PERFORMANCE CONDITIONS:4||impulsive noise:4||ACTUATOR SATURATION:4||SUBJECT:4||H(infinity) control:4||Kalman filter:4||GUARANTEED COST CONTROL:4||LIMITED INFORMATION:4||ADAPTIVE FILTER:4||Interval timevarying delays:4||Stability analysis:4||FILTER:4||closedloop stability:4||Asymptotic stability:4||Triple integral terms:4||MSD analysis:4||RELAXED STABILITY:4||RICCATIEQUATIONS:4||fault diagnosis:4||REGULATORS:4||NETWORKED CONTROLSYSTEMS:4||INPUT VECTORS:4||IDENTIFICATION:4||PARAMETERVARYING SYSTEMS:4||ROBUSTCONTROL:4||LMI CONDITIONS:4||state estimation:4||FIR filter:4||MODELPREDICTIVE CONTROL:4||TIMEDELAY:4||ABSOLUTE STABILITY:4||LONG DEADTIME:4||SMITH PREDICTOR:4||INTEGRATOR:4||LMI&apos:4||LMI:4||MODELS:4||STATE:4||LPV SYSTEMS:4||spectral analysis:4||DEPENDENT LYAPUNOV FUNCTIONS:4||Input quantization:4||ECHO CANCELLATION:4||Input saturation:4||Disturbance rejection:4||input constraints:4||RECEDING HORIZON CONTROL:4||TRACKING:4||FEEDBACK STABILIZATION:4||VARIABLESTRUCTURE CONTROL:4||stabilization:4||DELAY:3||computer vision:2||shape analysis:2||normalised discrete compactness measures:2||Regularization:2||CANCELLATION:2||Stepsize scaler:2||condition number:2||optimal step size:2||CONVERGENCE BEHAVIOR:2||NLMS ALGORITHMS:2||FAMILY:2||time delay systems:2||piecewise quadratic Lyapunov function:2||discretetime TakagiSugeno fuzzy systems:2||LPV controller:2||LYAPUNOV EQUATIONS:2||robust stability:2||FEEDBACKCONTROL:2||EQUALIZATION:2||fault classification:2||TIMEVARYING SYSTEMS:2||CRITERION:2||discrimination criteria:2||gainscheduled control:2||HINFINITY:2||CONTROLLER SYNTHESIS:2||DISTRIBUTED DELAYS:2||LyapunovRazumikhin theorem:2||relaxation scheme:2||OUTPUTFEEDBACK CONTROL:2||FORM:2||scheduled stepsize:2||OBSERVER:2||Sign subband adaptive filter (SSAF):2||Impulsive noise:2||goodness compactness measure:2||Affine projection algorithm:2||Gram Schmidt process:2||periodic affine projection algorithm:2||subband sign adaptive filter:2||noisy FIR model:2||impulsive measurement noise:2||Fuzzy systems:2||Switching control:2||Parameterdependent Lyapunov function (PDLF):2||INTERVAL:2||Convergence rate:2||linear parameter varying systems:2||timedelay systems:2||delaydependent:2||finite precision arithmetic:2||delay systems:2||LYAPUNOV:2||FEEDBACKSYSTEMS:2||differential Riccati equation:2||finite impulse response (FIR):2||induced infinitynorm FIR filter:2||OPTIMIZATION TECHNIQUE:2||BOUNDED NOISE:2||LMI APPROACH:2||dynamic output feedback:2||decision feedback equalizers:2||transfer function:2||Delay systems:2||DEPENDENT ROBUST STABILIZATION:2||Dynamic outputfeedback control:2||STATEFEEDBACK:2||input saturation:2||parameterdependent Lyapunov function (PDLF):2||nonparallel distributed compensation (nonPDC) scheme:2||Delayed systems:2||CONTROL INPUT:2||FILTERS:2||TAKAGISUGENOS FORM:2||NEUTRAL SYSTEMS:2||ORDER:2||GAIN:2||CONVERTER:2||multiaccesible communication networks:2||QUADRATIC OPTIMALCONTROL:2||TIME LINEARSYSTEMS:2||Matching stepsize:2||Stage transition:2||discretetime switching fuzzy systems:2||normalized LSORL smoothers:2||orderrecursive structures geometric interpretation:2||sector and sloperestricted nonlinearities:2||RTAC benchmark problem:2||DISCRETETIMESYSTEMS:2||separation principle:2||algebraic Riccati equation:2||Kalman filtering:2||componentwise normbounded noises:2||mismatched uncertain systems:2||parametric interpolation:2||power transformers:2||relaxation technique (RT):2||Uncertain system:2||Linear matrix inequality:2||FUNCTIONALAPPROACH:2||adaptive filtering:2||SQUARES:2||H(infinity) performance:2||digital shape compactness measure:2||computer medical diagnosis:2||normalised Efactor:2||Variable matrixtype step size:2||Impulsive measurement noise:2||Robust filtering:2||scheduled step size:2||normalized leastmeansquare (NLMS):2||Interval timevarying delay:2||UNCERTAIN LINEARSYSTEMS:2||NORMALIZED LMS ALGORITHM:2||INPUTS:2||asymmetric network systems:2||Two stage:2||Computational complexity:2||bounded rates of parameter variations:2||guaranteed cost control:2||HYBRID SYSTEMS:2||ALGEBRAIC RICCATI EQUATION:2||matrix bound:2||BEAT OBSERVERS:2||nonlinear system:2||FREQUENCYDOMAIN CONDITIONS:2||indefinite input noise covariances:2||linear matrix inequalities:2||FREQUENCYDOMAIN EQUALIZATION:2||dynamic outputfeedback controller:2||CURVE INTERPOLATORS:2||PREDICTIVE CONTROL:2||Equivalent optimality:2||Reciprocally convex combination:2||frequency response analysis:2||parameterizedlinearmatrix inequality (PLMI):2||Guaranteed cost:2||DISTURBANCES:2||disturbance rejection:2||MATRIX INEQUALITIES:2||stability condition:2||Correction:2||FAST TCP:2||Fuzzyweightingdependent LyapunovKrasovskii functional (FWLKF):2||FEEDBACK CONTROLLERDESIGN:2||outputfeedback:2||affine projection sign algorithm (APSA):2||perimeter ratios:2||Invariant set:2||Biascompensated LS:2||stepsize scaler:2||robust filtering:2||NLMS ALGORITHM:2||Stability criterion:2||State feedback:2||bounded real lemma:2||FEEDBACK:2||fuzzy weightingdependent Lyapunov function (FWDLF):2||leastsquares lattice algorithms:2||DISTURBANCE ATTENUATION:2||multiple sloperestricted nonlinear:2||ERROR STATE ESTIMATION:2||RFID systems:2||CHANNEL:2||constraints elimination:2||delay:2||shortcircuit fault:2||SET:2||interpolator:2||Onestepahead cost function:2||H(2) control:2||observerbased fuzzy control:2||statefeedback:2||hybrid QR/LLS algorithm:2||transfer function method:2||computer vision processes:2||NEF:2||COMPACTNESS:2||Domain of attraction:2||total leastsquares:2||innovativeness:2||LYAPUNOV FUNCTIONAPPROACH:2||switchingsystem control:2||DELAYS:2||Steadystate estimation error:2||SPACE:2||NONLINEAR FEEDBACKSYSTEMS:2||LMIs:2||nonlinear control:2||BENCHMARK PROBLEM:2||convergence:2||passive tag:2||integral inequality for delays:2||pertone equalizations:2||OFDM:2||FREQUENCYRESPONSE ANALYSIS:2||TRACKING CONTROL:2||precision machining:2||Variable regularized leastsquares:2||Network traffic:2||Mean square stability:2||JUMP LINEARSYSTEMS:2||STATE DELAY:2||variancenormalized a priori backwards prediction errors:2||STABILIZATION CONDITIONS:2||Variable stepsize:2||shape recognition:2||Affine projection:2||Robustness:2||Affine projection algorithm (APA):2||smoothing algorithms:2||Lyapunov methods:2||SPACE MODELS:2||discrete algebraic Riccati equation:2||discrete Lyapunov equation:2||finite impulse response (FIR) structure:2||MPSKtype modulus signals:2||delayed systems:2||variable structure control:2||DYNAMICSYSTEMS:2||single carrier:2||POWER TRANSFORMERS:2||receding horizon Hinfinity control:2||asymptotic stability:2||CNC:2||QUINTICSPLINE INTERPOLATION:2||model predictive control (MPC):2||TRANSVERSAL FILTERS:2||Stability:2||IMPROVEMENT:2||L(2) gain:2||Timestamp:2||LMIBASED DESIGNS:2||updateinterval selection:2||ALGORITHM:2||UNCORRELATED GAUSSIAN DATA:2||receding horizon control:2||piecewise fuzzy weightingdependent Lyapunov function:2||uncertain systems:2||adaptive filters:2||ALGORITHMS:2||EIGENVALUES:2||uncertain delay:2||EQUATION:2||tag anticollision:2||INPUT ESTIMATION:2||selforthogonalization:2||CONSTRAINTS:2||state delay:2||defective phase:2||Variable structure control:2||LPV system:2||STATE QUANTIZATION:2||NETWORKS:2||Relaxation technique:2||normalized least mean square (NLMS):2||interval timevarying delays:2||DEPENDENT STABILITY ANALYSIS:2||extended inverse QR algorithm:2||Fuzzyweightingdependent Lyapunov function (FWDLF):2||

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