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Subsystem level optimal control and filtering of non-classically damped matrix second-order linear mechanical stochastic systems
dc.creator | Radisavljević, Verica | |
dc.creator | Škatarić, Dobrila | |
dc.creator | Su, Wu-Chung | |
dc.date.accessioned | 2022-09-19T16:25:02Z | |
dc.date.available | 2022-09-19T16:25:02Z | |
dc.date.issued | 2010 | |
dc.identifier.uri | https://machinery.mas.bg.ac.rs/handle/123456789/1022 | |
dc.description.abstract | Matrix 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.publisher | American Society of Mechanical Engineers (ASME) | |
dc.rights | restrictedAccess | |
dc.source | ASME International Mechanical Engineering Congress and Exposition, Proceedings | |
dc.title | Subsystem level optimal control and filtering of non-classically damped matrix second-order linear mechanical stochastic systems | en |
dc.type | conferenceObject | |
dc.rights.license | ARR | |
dc.citation.epage | 1091 | |
dc.citation.issue | PART B | |
dc.citation.other | 10(PART B): 1083-1091 | |
dc.citation.rank | M31 | |
dc.citation.spage | 1083 | |
dc.citation.volume | 10 | |
dc.identifier.doi | 10.1115/IMECE2009-13053 | |
dc.identifier.scopus | 2-s2.0-77954305993 | |
dc.identifier.wos | 000280200700127 | |
dc.type.version | publishedVersion |