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Modified stochastic Luenberger observers

dc.citation.epage1854en_US
dc.citation.issue12en_US
dc.citation.spage1847en_US
dc.citation.volume36en_US
dc.citation.woscount5
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.accessioned2014-12-08T15:44:34Z
dc.date.available2014-12-08T15:44:34Z
dc.date.issued2000-12-01en_US
dc.description.abstractA modified stochastic Luenberger observer (MSLO) structure is proposed to recover the optimal performance of the coventional SLO for obtaining full-state estimates in linear discrete-time stochastic systems. The optimal MSLO (OMSLO) which gives the MMSE estimates is derived by using the general two-stage Kalman filter. A reduced-order form of the OMSLO is also proposed for systems having singular measurement noises. The connection between the OMSLO and the optimal minimal-order observer of Leondes and Novak is also shown. (C) 2000 Elsevier Science Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/S0005-1098(00)00105-9en_US
dc.identifier.issn0005-1098en_US
dc.identifier.journalAUTOMATICAen_US
dc.identifier.urihttp://dx.doi.org/10.1016/S0005-1098(00)00105-9en_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/30082
dc.identifier.wosnumberWOS:000165075800006
dc.language.isoen_USen_US
dc.subjectstochastic Luenberger observeren_US
dc.subjectminimal-order observeren_US
dc.subjecttwo-stage filteren_US
dc.titleModified stochastic Luenberger observersen_US
dc.typeArticleen_US

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