Stabilizing controller design for uncertain nonlinear systems using fuzzy models

dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorPurdue Univ
dc.date.accessioned2014-05-20T13:28:55Z
dc.date.available2014-05-20T13:28:55Z
dc.date.created2014-05-20T13:28:55Z
dc.date.issued1999-04-01
dc.identifierIEEE Transactions on Fuzzy Systems. New York: IEEE-Inst Electrical Electronics Engineers Inc., v. 7, n. 2, p. 133-142, 1999.
dc.identifier1063-6706
dc.identifierhttp://hdl.handle.net/11449/9658
dc.identifier10.1109/91.755395
dc.identifierWOS:000079777100003
dc.description.abstractA Lyapunov-based stabilizing control design method for uncertain nonlinear dynamical systems using fuzzy models is proposed. The controller is constructed using a design model of the dynamical process to be controlled. The design model is obtained from the truth model using a fuzzy modeling approach. The truth model represents a detailed description of the process dynamics. The truth model is used in a simulation experiment to evaluate the performance of the controller design. A method for generating local models that constitute the design model is proposed. Sufficient conditions for stability and stabilizability of fuzzy models using fuzzy state-feedback controllers are given. The results obtained are illustrated with a numerical example involving a four-dimensional nonlinear model of a stick balancer.
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.subjectfuzzy modeling
dc.subjectLyapunov's method
dc.subjectstability
dc.subjectuncertain systems
dc.titleStabilizing controller design for uncertain nonlinear systems using fuzzy models
dc.typeArtículos de revistas


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