Please use this identifier to cite or link to this item:
Scopus Web of Science® Altmetric
Full metadata record
DC FieldValueLanguage
dc.contributor.authorXia, Y.en
dc.contributor.authorYang, H.en
dc.contributor.authorShi, P.en
dc.identifier.citationIEEE Transactions on Fuzzy Systems, 2010; 18(2):429-436en
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.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
pubs.library.collectionElectrical and Electronic Engineering publicationsen
dc.identifier.orcidShi, P. [0000-0001-8218-586X]en
Appears in Collections:Electrical and Electronic Engineering publications

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.