Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/78776
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dc.contributor.authorXia, Y.en
dc.contributor.authorYang, H.en
dc.contributor.authorShi, P.en
dc.date.issued2010en
dc.identifier.citationIEEE Transactions on Fuzzy Systems, 2010; 18(2):429-436en
dc.identifier.issn1063-6706en
dc.identifier.issn1941-0034en
dc.identifier.urihttp://hdl.handle.net/2440/78776-
dc.description.abstractThe problem of constrained infinite-horizon model-predictive control for fuzzy-discrete systems is considered in this paper. New sufficient conditions are proposed in terms of linear-matrix inequalities. Based on the optimal solutions of these sufficient conditions at each sampling instant, we design both parallel-distributed compensation and nonparallel-distributed compensation state-feedback controllers, which can guarantee that the resulting closed-loop fuzzy-discrete system is asymptotically stable. In addition, the fuzzy-feedback controllers meet the specifications for the fuzzy-discrete systems with both input and output constraints. Numerical examples are presented to demonstrate the effectiveness of the proposed techniques.en
dc.description.statementofresponsibilityYuanqing Xia, Hongjiu Yang, Peng Shi, and Mengyin Fuen
dc.language.isoenen
dc.publisherIEEE-Inst Electrical Electronics Engineers Incen
dc.rights© 2010 IEEEen
dc.subjectDiscrete-time system; linear-matrix inequality (LMI); model-predictive control (MPC); parallel-distributed compensation (PDC); Takagi–Sugeno (T–S) fuzzy system.en
dc.titleConstrained infinite-horizon model predictive control for fuzzy-discrete-time systemsen
dc.typeJournal articleen
dc.identifier.rmid0020128013en
dc.identifier.doi10.1109/TFUZZ.2010.2043441en
dc.identifier.pubid19790-
pubs.library.collectionElectrical and Electronic Engineering publicationsen
pubs.verification-statusVerifieden
pubs.publication-statusPublisheden
dc.identifier.orcidShi, P. [0000-0001-8218-586X]en
Appears in Collections:Electrical and Electronic Engineering publications

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