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dc.creatorRadisavljević, Verica
dc.creatorŠkatarić, Dobrila
dc.creatorSu, Wu-Chung
dc.date.accessioned2022-09-19T16:25:02Z
dc.date.available2022-09-19T16:25:02Z
dc.date.issued2010
dc.identifier.urihttps://machinery.mas.bg.ac.rs/handle/123456789/1022
dc.description.abstractMatrix second-order damped linear dynamic systems are frequently encountered in mechanical, structural, civil, aerospace engineering, and related fields. In this paper, we show how to optimally control matrix second-order systems using locally optimal Kalman filters corresponding to scalar second-order subsystems and how to find the corresponding filter and linear-quadratic (LQ) controller optimal gains at the subsystem level. The globally optimal linear-quadratic controller and the globally optimal Kalman filter and obtained in terms of locally optimal LQ controllers and locally optimal scalar second-order parallel Kalman filters. Conditions are established under which the presented procedure is applicable. Examples are included to demonstrate the efficiency of the proposed technique.en
dc.publisherAmerican Society of Mechanical Engineers (ASME)
dc.rightsrestrictedAccess
dc.sourceASME International Mechanical Engineering Congress and Exposition, Proceedings
dc.titleSubsystem level optimal control and filtering of non-classically damped matrix second-order linear mechanical stochastic systemsen
dc.typeconferenceObject
dc.rights.licenseARR
dc.citation.epage1091
dc.citation.issuePART B
dc.citation.other10(PART B): 1083-1091
dc.citation.rankM31
dc.citation.spage1083
dc.citation.volume10
dc.identifier.doi10.1115/IMECE2009-13053
dc.identifier.scopus2-s2.0-77954305993
dc.identifier.wos000280200700127
dc.type.versionpublishedVersion


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