On relaxed LMI-based designs for fuzzy regulators and fuzzy observers

dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T13:29:01Z
dc.date.accessioned2022-10-05T13:27:30Z
dc.date.available2014-05-20T13:29:01Z
dc.date.available2022-10-05T13:27:30Z
dc.date.created2014-05-20T13:29:01Z
dc.date.issued2003-10-01
dc.identifierIEEE Transactions on Fuzzy Systems. Piscataway: IEEE-Inst Electrical Electronics Engineers Inc., v. 11, n. 5, p. 613-623, 2003.
dc.identifier1063-6706
dc.identifierhttp://hdl.handle.net/11449/9731
dc.identifier10.1109/TFUZZ.2003.817840
dc.identifierWOS:000185819700003
dc.identifier8755160580142626
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3886029
dc.description.abstractRelaxed conditions for stability of nonlinear, continuous and discrete-time systems given by fuzzy models are presented. A theoretical analysis shows that the proposed methods provide better or at least the same results of the methods presented in the literature. Numerical results exemplify this fact. These results are also used for fuzzy regulators and observers designs. The nonlinear systems are represented by fuzzy models proposed by Takagi and Sugeno. The stability analysis and the design of controllers are described by linear matrix inequalities, that can be solved efficiently using convex programming techniques. The specification of the decay rate, constrains on control input and output are also discussed.
dc.languageeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relationIEEE Transactions on Fuzzy Systems
dc.relation8.415
dc.relation4,024
dc.rightsAcesso restrito
dc.sourceWeb of Science
dc.subjectcontrol of nonlinear systems
dc.subjectfuzzy control
dc.subjectlinear matrix inequalities (LMIs)
dc.subjectquadratic stability
dc.subjectTakagi and Sugeno (T-S) fuzzy model
dc.titleOn relaxed LMI-based designs for fuzzy regulators and fuzzy observers
dc.typeArtigo


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