On relaxed LMI-based design for fuzzy controllers

dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T13:28:58Z
dc.date.available2014-05-20T13:28:58Z
dc.date.created2014-05-20T13:28:58Z
dc.date.issued2001-01-01
dc.identifier10th IEEE International Conference on Fuzzy Systems, Vols 1-3. New York: IEEE, p. 704-707, 2001.
dc.identifierhttp://hdl.handle.net/11449/9695
dc.identifier10.1109/FUZZ.2001.1009052
dc.identifierWOS:000178178300175
dc.identifier8755160580142626
dc.description.abstractRelaxed conditions for stability of nonlinear continuous-time systems given by fuzzy models axe presented. A theoretical analysis shows that the proposed method provides better or at least the same results of the methods presented in the literature. Digital simulations exemplify this fact. This result is also used for fuzzy regulators design. The nonlinear systems are represented by fuzzy models proposed by Takagi and Sugeno. The stability analysis and the design of controllers axe described by LMIs (Linear Matrix Inequalities), that can be solved efficiently using convex programming techniques.
dc.languageeng
dc.publisherIEEE
dc.relation10th IEEE International Conference on Fuzzy Systems, Vols 1-3
dc.rightsAcesso aberto
dc.sourceWeb of Science
dc.subjectfuzzy control
dc.subjectcontrol of non-linear systems
dc.subjectT-S fuzzy model
dc.subjectlinear matrix inequalities (LMI)
dc.subjectquadratic stability
dc.titleOn relaxed LMI-based design for fuzzy controllers
dc.typeActas de congresos


Este ítem pertenece a la siguiente institución