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Output feedback model predictive control for LPV systems based on quasi-min-max algorithm

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dc.contributor.authorPark, Jee-Hun-
dc.contributor.authorKim, Tae-Hyoung-
dc.contributor.authorSugie, Toshiharu-
dc.date.available2019-05-29T11:36:38Z-
dc.date.issued2011-09-
dc.identifier.issn0005-1098-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/21295-
dc.description.abstractThis paper proposes a robust output feedback model predictive control (MPC) scheme for linear parameter varying (LPV) systems based on a quasi-min-max algorithm. This approach involves an off-line design of a robust state observer for LPV systems using linear matrix inequality (LMI) and an on-line robust output feedback MPC algorithm using the estimated state. The proposed MPC method for LPV systems is applicable for a variety of systems with constraints and guarantees the robust stability of the output feedback systems. A numerical example for an LPV system subject to input constraints is given to demonstrate its effectiveness. (C) 2011 Elsevier Ltd. All rights reserved.-
dc.format.extent7-
dc.language영어-
dc.language.isoENG-
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD-
dc.titleOutput feedback model predictive control for LPV systems based on quasi-min-max algorithm-
dc.typeArticle-
dc.identifier.doi10.1016/j.automatica.2011.06.015-
dc.identifier.bibliographicCitationAUTOMATICA, v.47, no.9, pp 2052 - 2058-
dc.description.isOpenAccessN-
dc.identifier.wosid000294877400025-
dc.identifier.scopusid2-s2.0-80052038185-
dc.citation.endPage2058-
dc.citation.number9-
dc.citation.startPage2052-
dc.citation.titleAUTOMATICA-
dc.citation.volume47-
dc.type.docTypeArticle-
dc.publisher.location영국-
dc.subject.keywordAuthorModel predictive control-
dc.subject.keywordAuthorLinear parameter varying systems-
dc.subject.keywordAuthorLinear matrix inequality-
dc.subject.keywordPlusLINEAR MATRIX INEQUALITIES-
dc.subject.keywordPlusMPC-
dc.relation.journalResearchAreaAutomation & Control Systems-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryAutomation & Control Systems-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.description.journalRegisteredClasssci-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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