DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, SM | - |
dc.contributor.author | Won, SC | - |
dc.contributor.author | Park, JH | - |
dc.date.accessioned | 2016-04-01T01:17:55Z | - |
dc.date.available | 2016-04-01T01:17:55Z | - |
dc.date.created | 2009-08-28 | - |
dc.date.issued | 2008-08 | - |
dc.identifier.issn | 0022-3239 | - |
dc.identifier.other | 2008-OAK-0000007895 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/22677 | - |
dc.description.abstract | In this paper, we propose a new robust model predictive control (MPC) method for time-varying uncertain systems with input constraints. We formulate the problem as a minimization of the worst-case finite-horizon cost function subject to a new sufficient condition for cost monotonicity. The proposed MPC technique uses relaxation matrices to derive a less conservative terminal inequality condition. The relaxation matrices improve feasibility and system performance. The optimization problem is solved by semidefinite programming involving linear matrix inequalities (LMIs). A numerical example shows the effectiveness of the proposed method. | - |
dc.description.statementofresponsibility | X | - |
dc.language | English | - |
dc.publisher | SPRINGER/PLENUM PUBLISHERS | - |
dc.relation.isPartOf | JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS | - |
dc.subject | model predictive control | - |
dc.subject | time-varying uncertain systems | - |
dc.subject | input constraints | - |
dc.subject | LMIs | - |
dc.subject | RECEDING HORIZON CONTROL | - |
dc.subject | STABILITY | - |
dc.title | New robust model predictive control for uncertain systems with input constraints using relaxation matrices | - |
dc.type | Article | - |
dc.contributor.college | 전자전기공학과 | - |
dc.identifier.doi | 10.1007/S10957-008-9 | - |
dc.author.google | Lee, SM | - |
dc.author.google | Won, SC | - |
dc.author.google | Park, JH | - |
dc.relation.volume | 138 | - |
dc.relation.issue | 2 | - |
dc.relation.startpage | 221 | - |
dc.relation.lastpage | 234 | - |
dc.contributor.id | 10083575 | - |
dc.relation.journal | JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS | - |
dc.relation.index | SCI급, SCOPUS 등재논문 | - |
dc.relation.sci | SCI | - |
dc.collections.name | Journal Papers | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, v.138, no.2, pp.221 - 234 | - |
dc.identifier.wosid | 000257226500006 | - |
dc.date.tcdate | 2019-01-01 | - |
dc.citation.endPage | 234 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 221 | - |
dc.citation.title | JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS | - |
dc.citation.volume | 138 | - |
dc.contributor.affiliatedAuthor | Won, SC | - |
dc.identifier.scopusid | 2-s2.0-46249113242 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 8 | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | model predictive control | - |
dc.subject.keywordAuthor | time-varying uncertain systems | - |
dc.subject.keywordAuthor | input constraints | - |
dc.subject.keywordAuthor | LMIs | - |
dc.relation.journalWebOfScienceCategory | Operations Research & Management Science | - |
dc.relation.journalWebOfScienceCategory | Mathematics, Applied | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Operations Research & Management Science | - |
dc.relation.journalResearchArea | Mathematics | - |
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