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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/72900
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dc.contributor.authorFaria, Flávio A.-
dc.contributor.authorSilva, Geraldo N.-
dc.contributor.authorOliveira, Vilma A.-
dc.contributor.authorCardim, Rodrigo-
dc.date.accessioned2014-05-27T11:26:15Z-
dc.date.accessioned2016-10-25T18:35:58Z-
dc.date.available2014-05-27T11:26:15Z-
dc.date.available2016-10-25T18:35:58Z-
dc.date.issued2011-12-01-
dc.identifierhttp://dx.doi.org/10.3182/20110828-6-IT-1002.00029-
dc.identifier.citationIFAC Proceedings Volumes (IFAC-PapersOnline), v. 18, n. PART 1, p. 10881-10886, 2011.-
dc.identifier.issn1474-6670-
dc.identifier.urihttp://hdl.handle.net/11449/72900-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/72900-
dc.description.abstractIn this paper, the fuzzy Lyapunov function approach is considered for stabilizing continuous-time Takagi-Sugeno fuzzy systems. Previous linear matrix inequality (LMI) stability conditions are relaxed by exploring further the properties of the time derivatives of premise membership functions and by introducing a slack LMI variable into the problem formulation. The stability results are thus used in the state feedback design which is also solved in terms of LMIs. Numerical examples illustrate the efficiency of the new stabilizing conditions presented. © 2011 IFAC.en
dc.format.extent10881-10886-
dc.language.isoeng-
dc.sourceScopus-
dc.subjectLinear matrix inequalities-
dc.subjectStability analysis-
dc.subjectState feedback design-
dc.subjectTS fuzzy system: Fuzzy Lyapunov functions-
dc.subjectContinuous time-
dc.subjectFeedback designs-
dc.subjectFuzzy Lyapunov functions-
dc.subjectNumerical example-
dc.subjectProblem formulation-
dc.subjectStability condition-
dc.subjectStability results-
dc.subjectT S fuzzy system-
dc.subjectTakagi Sugeno fuzzy systems-
dc.subjectTime derivative-
dc.subjectLyapunov functions-
dc.subjectState feedback-
dc.titleImproving the stability conditions of TS fuzzy systems with fuzzy Lyapunov functionsen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionUniversidade de São Paulo (USP)-
dc.description.affiliationDepartamento de Ciência da Computação e Estatística Instituto de Biociências Letras e Ciências Exatas UNESP, 15054-000, São José do Rio Preto, SP-
dc.description.affiliationDepartamento de Engenharia Elétrica Universidade de São Paulo, 13560-970, São Carlos, SP-
dc.description.affiliationDepartamento de Engenharia Elétrica UNESP Campus de Ilha Solteira, 15385-000, SP-
dc.description.affiliationUnespDepartamento de Ciência da Computação e Estatística Instituto de Biociências Letras e Ciências Exatas UNESP, 15054-000, São José do Rio Preto, SP-
dc.description.affiliationUnespDepartamento de Engenharia Elétrica UNESP Campus de Ilha Solteira, 15385-000, SP-
dc.identifier.doi10.3182/20110828-6-IT-1002.00029-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofIFAC Proceedings Volumes (IFAC-PapersOnline)-
dc.identifier.scopus2-s2.0-84866774485-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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