DC Field | Value | Language |
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dc.contributor.author | Nam, K | - |
dc.contributor.author | Tahk, MJ | - |
dc.date.accessioned | 2016-03-31T13:43:47Z | - |
dc.date.available | 2016-03-31T13:43:47Z | - |
dc.date.created | 2009-03-19 | - |
dc.date.issued | 1999-03 | - |
dc.identifier.issn | 0018-9286 | - |
dc.identifier.other | 1999-OAK-0000000648 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/20473 | - |
dc.description.abstract | In the state estimation of a nonlinear system, the second-order filter is known to achieve better precision than the first-order filter [extended Kalman filter (EKF)] at the price of complex computation. If the measurement equation is linear in a transformed state variable, the complex measurement update equations of the second-order filter become as simple as the EKF case. Further, if the vector fields carrying the noise are constant, the high-order components in the variance propagation equation disappear. This suggests that if we make the measurement equation linear and make some vector fields constant through a coordinate transformation, we can simplify the second-order filter significantly while taking advantage of high precision. Finally, with an example of a falling body, we demonstrate through a Monte Carlo analysis the usefulness of the proposed method. | - |
dc.description.statementofresponsibility | X | - |
dc.language | English | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGI | - |
dc.relation.isPartOf | IEEE TRANSACTIONS ON AUTOMATIC CONTROL | - |
dc.subject | coordinate transformation | - |
dc.subject | extended Kalman filter (EKF) | - |
dc.subject | second-order filter | - |
dc.subject | NONLINEAR-SYSTEMS | - |
dc.title | A second-order stochastic filter involving coordinate transformation | - |
dc.type | Article | - |
dc.contributor.college | 전자전기공학과 | - |
dc.identifier.doi | 10.1109/9.751360 | - |
dc.author.google | Nam, K | - |
dc.author.google | Tahk, MJ | - |
dc.relation.volume | 44 | - |
dc.relation.issue | 3 | - |
dc.relation.startpage | 603 | - |
dc.relation.lastpage | 608 | - |
dc.contributor.id | 10071835 | - |
dc.relation.journal | IEEE TRANSACTIONS ON AUTOMATIC CONTROL | - |
dc.relation.index | SCI급, SCOPUS 등재논문 | - |
dc.relation.sci | SCI | - |
dc.collections.name | Journal Papers | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON AUTOMATIC CONTROL, v.44, no.3, pp.603 - 608 | - |
dc.identifier.wosid | 000079081600023 | - |
dc.date.tcdate | 2019-01-01 | - |
dc.citation.endPage | 608 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 603 | - |
dc.citation.title | IEEE TRANSACTIONS ON AUTOMATIC CONTROL | - |
dc.citation.volume | 44 | - |
dc.contributor.affiliatedAuthor | Nam, K | - |
dc.identifier.scopusid | 2-s2.0-0033098404 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 3 | - |
dc.type.docType | Letter | - |
dc.subject.keywordAuthor | coordinate transformation | - |
dc.subject.keywordAuthor | extended Kalman filter (EKF) | - |
dc.subject.keywordAuthor | second-order filter | - |
dc.relation.journalWebOfScienceCategory | Automation & Control Systems | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Automation & Control Systems | - |
dc.relation.journalResearchArea | Engineering | - |
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