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dc.contributor.authorHsiao, Feng-Hsiagen_US
dc.contributor.authorXu, Sheng-Dongen_US
dc.contributor.authorWu, Shih-Linen_US
dc.contributor.authorLee, Gwo-Chuanen_US
dc.date.accessioned2014-12-08T15:16:40Z-
dc.date.available2014-12-08T15:16:40Z-
dc.date.issued2006-05-01en_US
dc.identifier.issn0016-0032en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.jfranklin.2006.02.038en_US
dc.identifier.urihttp://hdl.handle.net/11536/12298-
dc.description.abstractIn this paper, the linear-quadratic-Gaussian (LQG) optimal control problem is considered and a robust minimax controller composed of the Kalman filter and the optimal regulator is synthesized to guarantee the asymptotic stability of the discrete time-delay systems under both parametric uncertainties and uncertain noise covariances. Designed procedures are finally elaborated with an illustrative example. (c) 2006 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectLQG optimal controlen_US
dc.subjectminimax controlleren_US
dc.subjectKalman filteren_US
dc.titleLQG optimal control of discrete stochastic systems under parametric and noise uncertaintiesen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.jfranklin.2006.02.038en_US
dc.identifier.journalJOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICSen_US
dc.citation.volume343en_US
dc.citation.issue3en_US
dc.citation.spage279en_US
dc.citation.epage294en_US
dc.contributor.department電控工程研究所zh_TW
dc.contributor.departmentInstitute of Electrical and Control Engineeringen_US
dc.identifier.wosnumberWOS:000240413900010-
dc.citation.woscount2-
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