Optimal minimal-order least-squares estimators via the general two-stage Kalman filter

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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	2014-12-08T15:43:15Z	-
dc.date.available	2014-12-08T15:43:15Z	-
dc.date.issued	2001-11-01	en_US
dc.identifier.issn	0018-9286	en_US
dc.identifier.uri	http://dx.doi.org/10.1109/9.964689	en_US
dc.identifier.uri	http://hdl.handle.net/11536/29271	-
dc.description.abstract	A direct derivation of the optimal minimal-order least-squares estimator (OMOLSE) is presented using the recently developed general two-stage Kalman filter (GTSKF). Using this new result, the reduced-order estimators of O'Reilly and Fairman are readily shown to be equivalent. A practical implementation issue to consider these two estimators is also addressed.	en_US
dc.language.iso	en_US	en_US
dc.subject	least-squares estimator	en_US
dc.subject	minimal-order estimator	en_US
dc.subject	reduced-order estimator	en_US
dc.subject	two-stage Kalman filter	en_US
dc.title	Optimal minimal-order least-squares estimators via the general two-stage Kalman filter	en_US
dc.type	Article	en_US
dc.identifier.doi	10.1109/9.964689	en_US
dc.identifier.journal	IEEE TRANSACTIONS ON AUTOMATIC CONTROL	en_US
dc.citation.volume	46	en_US
dc.citation.issue	11	en_US
dc.citation.spage	1772	en_US
dc.citation.epage	1776	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:000172108000009	-
dc.citation.woscount	7	-
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