Min-max predictive control techniques for a linear state-space system with a bounded set of input matrices
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Lee, JayHyung | ko |
| dc.contributor.author | Cooley, BL | ko |
| dc.date.accessioned | 2013-03-02T14:50:50Z | - |
| dc.date.available | 2013-03-02T14:50:50Z | - |
| dc.date.created | 2012-02-06 | - |
| dc.date.created | 2012-02-06 | - |
| dc.date.issued | 2000-03 | - |
| dc.identifier.citation | AUTOMATICA, v.36, no.3, pp.463 - 473 | - |
| dc.identifier.issn | 0005-1098 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/74053 | - |
| dc.description.abstract | Min-max predictive control of a linear state-space system with a bounded set of input matrices is studied based on a quadratic performance criterion. Systems with stable and integrating dynamics as well as time-varying and time-invariant uncertainties are treated. Algorithms that are computationally manageable and ensure closed-loop stability are developed and tested. (C) 2000 Elsevier Science Ltd. All rights reserved. | - |
| dc.language | English | - |
| dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | - |
| dc.title | Min-max predictive control techniques for a linear state-space system with a bounded set of input matrices | - |
| dc.type | Article | - |
| dc.identifier.wosid | 000085209200012 | - |
| dc.identifier.scopusid | 2-s2.0-0034159042 | - |
| dc.type.rims | ART | - |
| dc.citation.volume | 36 | - |
| dc.citation.issue | 3 | - |
| dc.citation.beginningpage | 463 | - |
| dc.citation.endingpage | 473 | - |
| dc.citation.publicationname | AUTOMATICA | - |
| dc.identifier.doi | 10.1016/S0005-1098(99)00178-8 | - |
| dc.contributor.localauthor | Lee, JayHyung | - |
| dc.contributor.nonIdAuthor | Cooley, BL | - |
| dc.type.journalArticle | Article; Proceedings Paper | - |
| dc.subject.keywordAuthor | minimax techniques | - |
| dc.subject.keywordAuthor | predictive control | - |
| dc.subject.keywordAuthor | robust control | - |
| dc.subject.keywordAuthor | constraint satisfaction | - |
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