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http://dx.doi.org/10.5391/JKIIS.2011.21.5.630

Design of the Robust Fuzzy Controller based on Fuzzy Lyapunov Functions  

Kim, Ho-Jun (연세대학교 전기전자공학과)
Park, Jin-Bae (연세대학교 전기전자공학과)
Joo, Young-Hoon (군산대학교 제어로봇공학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.21, no.5, 2011 , pp. 630-636 More about this Journal
Abstract
This paper is concerned with the stability analysis and stabilization for the Takagi-Sugeno(T-S) fuzzy systems with parametric uncertainties. To reduce conservativeness in stability analysis for T-S fuzzy systems, fuzzy Lyapunov functions are used. Stability analysis is performed and robust fuzzy controller is designed for stabilization of the system with parametric uncertainties. The stability and stabilization conditions are formulated in terms of linear matrix inequalities (LMIs). Finally, simulation example is presented to show the effectiveness of the proposed approach.
Keywords
T-S fuzzy system; linear matrix inequalities(LMI); fuzzy Lyapunov; robust controller;
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