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Guaranteed cost control analysis and iterative design for constrained Takagi-Sugeno systems

dc.contributor.authorAriño Latorre, Carlos Vicente
dc.contributor.authorPérez, Emilio
dc.contributor.authorSala, Antonio
dc.date.accessioned2012-10-22T11:18:23Z
dc.date.available2012-10-22T11:18:23Z
dc.date.issued2010
dc.identifierhttp://dx.doi.org/10.1016/j.engappai.2010.03.004
dc.identifier.citationEngineering Applications of Artificial Intelligence, 23, 8, p. 1420-1427
dc.identifier.issn9521976
dc.identifier.urihttp://hdl.handle.net/10234/49546
dc.description.abstractThis paper presents a novel control design technique in order to obtain a guaranteed cost fuzzy controller subject to constraints on the input channel. This guaranteed cost control law is obtained via multi-parametric quadratic programming. The result is a piecewise fuzzy control law where the state partition is defined by fuzzy inequalities. The parameters of the Lyapunov function can be obtained previously using Linear Matrix Inequalities optimization. © 2010 Elsevier Ltd. All rights reserved.
dc.language.isoeng
dc.publisherElsevier
dc.rights.urihttp://rightsstatements.org/vocab/CNE/1.0/*
dc.subjectConstrained control
dc.subjectLMI
dc.subjectMulti-parametric quadratic programming
dc.subjectParallel distributed compensation
dc.subjectPiecewise control
dc.subjectQuadratic stability
dc.subjectTakagi-Sugeno fuzzy control
dc.titleGuaranteed cost control analysis and iterative design for constrained Takagi-Sugeno systems
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doihttp://dx.doi.org/10.1016/j.engappai.2010.03.004
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccess


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