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Type: Artigo de evento
Title: Improved Stabilization Conditions For Takagi-sugeno Fuzzy Systems Via Fuzzy Integral Lyapunov Functions
Author: Tognetti E.S.
Oliveira R.C.L.F.
Peres P.L.D.
Abstract: This paper presents new results concerning the design of state feedback controllers for continuous-time Takagi-Sugeno (T-S) fuzzy systems. The conditions, based on a line-integral fuzzy Lyapunov function, are specially suitable for T-S fuzzy systems where no information about the time-derivatives of the membership functions is available. The controller is designed through linear matrix inequalities in a two step procedure: at the first step, a stabilizing fuzzy controller is obtained for a relaxed frozen (i.e. time-invariant) T-S fuzzy system. This control gain is then used as an input data at the second step, that provides a stabilizing control law guaranteed by the line-integral Lyapunov function. An extension to cope with H ∞ guaranteed cost control of T-S fuzzy systems is also provided. Numerical examples illustrate the advantages of the proposed method when compared to other techniques available in the literature. © 2011 AACC American Automatic Control Council.
Rights: fechado
Identifier DOI: 
Date Issue: 2011
Appears in Collections:Unicamp - Artigos e Outros Documentos

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