General two-stage Kalman filters

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DC Field	Value	Language
dc.contributor.author	Hsieh, CS	en_US
dc.contributor.author	Chen, FC	en_US
dc.date.accessioned	2014-12-08T15:45:25Z	-
dc.date.available	2014-12-08T15:45:25Z	-
dc.date.issued	2000-04-01	en_US
dc.identifier.issn	0018-9286	en_US
dc.identifier.uri	http://dx.doi.org/10.1109/9.847129	en_US
dc.identifier.uri	http://hdl.handle.net/11536/30595	-
dc.description.abstract	A 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.language.iso	en_US	en_US
dc.subject	reduced-order estimator	en_US
dc.subject	reduced-order observer	en_US
dc.subject	single-stage Kalman filter	en_US
dc.subject	two-stage Kalman estimator	en_US
dc.title	General two-stage Kalman filters	en_US
dc.type	Article	en_US
dc.identifier.doi	10.1109/9.847129	en_US
dc.identifier.journal	IEEE TRANSACTIONS ON AUTOMATIC CONTROL	en_US
dc.citation.volume	45	en_US
dc.citation.issue	4	en_US
dc.citation.spage	819	en_US
dc.citation.epage	824	en_US
dc.contributor.department	電控工程研究所	zh_TW
dc.contributor.department	Institute of Electrical and Control Engineering	en_US
dc.identifier.wosnumber	WOS:000087820100032	-
dc.citation.woscount	11	-
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