On relaxed LMI-based design for fuzzy controllers

dc.contributorUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2022-04-28T19:55:30Z
dc.date.accessioned2022-12-20T01:47:15Z
dc.date.available2022-04-28T19:55:30Z
dc.date.available2022-12-20T01:47:15Z
dc.date.created2022-04-28T19:55:30Z
dc.date.issued2001-12-01
dc.identifierIEEE International Conference on Fuzzy Systems, v. 2, p. 704-707.
dc.identifierhttp://hdl.handle.net/11449/224252
dc.identifier2-s2.0-0036343444
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5404381
dc.description.abstractRelaxed conditions for stability of nonlinear continuous-time systems given by fuzzy models are 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 are described by LMIs (Linear Matrix Inequalities), that can be solved efficiently using convex programming techniques.
dc.languageeng
dc.relationIEEE International Conference on Fuzzy Systems
dc.sourceScopus
dc.subjectControl of non-linear systems
dc.subjectFuzzy control
dc.subjectLinear matrix inequalities (LMI)
dc.subjectQuadratic stability
dc.subjectT-S fuzzy model
dc.titleOn relaxed LMI-based design for fuzzy controllers
dc.typeActas de congresos


Este ítem pertenece a la siguiente institución