dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorTeixeira, MCM
dc.creatorZak, S. H.
dc.date2014-05-20T13:28:55Z
dc.date2016-10-25T16:48:24Z
dc.date2014-05-20T13:28:55Z
dc.date2016-10-25T16:48:24Z
dc.date1999-04-01
dc.date.accessioned2017-04-05T20:12:23Z
dc.date.available2017-04-05T20:12:23Z
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.identifierhttp://acervodigital.unesp.br/handle/11449/9658
dc.identifier10.1109/91.755395
dc.identifierWOS:000079777100003
dc.identifierhttp://dx.doi.org/10.1109/91.755395
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/857750
dc.descriptionA 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.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectfuzzy modeling
dc.subjectLyapunov's method
dc.subjectstability
dc.subjectuncertain systems
dc.titleStabilizing controller design for uncertain nonlinear systems using fuzzy models
dc.typeOtro


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