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General two-stage Kalman filters

dc.citation.epage824en_US
dc.citation.issue4en_US
dc.citation.spage819en_US
dc.citation.volume45en_US
dc.citation.woscount11
dc.contributor.authorHsieh, CSen_US
dc.contributor.authorChen, FCen_US
dc.contributor.department電控工程研究所zh_TW
dc.contributor.departmentInstitute of Electrical and Control Engineeringen_US
dc.date.accessioned2014-12-08T15:45:25Z
dc.date.available2014-12-08T15:45:25Z
dc.date.issued2000-04-01en_US
dc.description.abstractA general two-stage Kalman filter (GTSKF) that is equivalent to, but numerically more efficient than, the standard single-stage Kalman Biter is developed for general, time-varying, linear discrete-time systems. Analytical results defining the reduction in computational burdens are presented. Simulation results that validate the predicted efficiency improvements are shown as well.en_US
dc.identifier.doi10.1109/9.847129en_US
dc.identifier.issn0018-9286en_US
dc.identifier.journalIEEE TRANSACTIONS ON AUTOMATIC CONTROLen_US
dc.identifier.urihttp://dx.doi.org/10.1109/9.847129en_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/30595
dc.identifier.wosnumberWOS:000087820100032
dc.language.isoen_USen_US
dc.subjectreduced-order estimatoren_US
dc.subjectreduced-order observeren_US
dc.subjectsingle-stage Kalman filteren_US
dc.subjecttwo-stage Kalman estimatoren_US
dc.titleGeneral two-stage Kalman filtersen_US
dc.typeArticleen_US

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