Constrained infinite-horizon model predictive control for fuzzy-discrete-time systems

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dc.contributor.authorXia, Y.
dc.contributor.authorYang, H.
dc.contributor.authorShi, P.
dc.date.issued2010
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.
dc.description.statementofresponsibilityYuanqing Xia, Hongjiu Yang, Peng Shi, and Mengyin Fu
dc.identifier.citationIEEE Transactions on Fuzzy Systems, 2010; 18(2):429-436
dc.identifier.doi10.1109/TFUZZ.2010.2043441
dc.identifier.issn1063-6706
dc.identifier.issn1941-0034
dc.identifier.orcidShi, P. [0000-0001-6295-0405] [0000-0001-8218-586X] [0000-0002-0864-552X] [0000-0002-1358-2367] [0000-0002-5312-5435]
dc.identifier.urihttp://hdl.handle.net/2440/78776
dc.language.isoen
dc.publisherIEEE-Inst Electrical Electronics Engineers Inc
dc.rights© 2010 IEEE
dc.source.urihttps://doi.org/10.1109/tfuzz.2010.2043441
dc.subjectDiscrete-time system
dc.subjectlinear-matrix inequality (LMI)
dc.subjectmodel-predictive control (MPC)
dc.subjectparallel-distributed compensation (PDC)
dc.subjectTakagi–Sugeno (T–S) fuzzy system.
dc.titleConstrained infinite-horizon model predictive control for fuzzy-discrete-time systems
dc.typeJournal article
pubs.publication-statusPublished

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