DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, JayHyung | ko |
dc.contributor.author | Yu, ZH | ko |
dc.date.accessioned | 2013-02-28T06:48:41Z | - |
dc.date.available | 2013-02-28T06:48:41Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 1997-05 | - |
dc.identifier.citation | AUTOMATICA, v.33, no.5, pp.763 - 781 | - |
dc.identifier.issn | 0005-1098 | - |
dc.identifier.uri | http://hdl.handle.net/10203/73331 | - |
dc.description.abstract | Two different predictive control formulations are developed based on minimization of the worst-case quadratic cost for systems with bounded parameters. The two formulations differ on the assumptions made about the future inputs in optimizing the current input: one assumes open-leap control, while the other considers closed-loop control. Their closed-loop properties such as asymptotic stability are examined. We then focus on a moving average model with an integrator, and derive computationally simpler suboptimal algorithms. (C) 1997 Elsevier Science Ltd. | - |
dc.language | English | - |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | - |
dc.subject | STABILITY | - |
dc.title | Worst-case formulations of model predictive control for systems with bounded parameters | - |
dc.type | Article | - |
dc.identifier.wosid | A1997XE53700001 | - |
dc.identifier.scopusid | 2-s2.0-0031131486 | - |
dc.type.rims | ART | - |
dc.citation.volume | 33 | - |
dc.citation.issue | 5 | - |
dc.citation.beginningpage | 763 | - |
dc.citation.endingpage | 781 | - |
dc.citation.publicationname | AUTOMATICA | - |
dc.identifier.doi | 10.1016/S0005-1098(96)00255-5 | - |
dc.contributor.localauthor | Lee, JayHyung | - |
dc.contributor.nonIdAuthor | Yu, ZH | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | dynamic programming | - |
dc.subject.keywordAuthor | min-max technique | - |
dc.subject.keywordAuthor | predictive control | - |
dc.subject.keywordAuthor | robust control | - |
dc.subject.keywordPlus | STABILITY | - |
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