제어로봇시스템학회:학술대회논문집
- 1999.10a
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- Pages.169-172
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- 1999
Stability Analysis of Fuzzy-Model-Based Controller by Piecewise Quadratic
- Wook Chang (Department of Electrical Engineering, Yonsei University) ;
- Joo, Young-Hoon (Department of Control & Instrumentation Engineering, Kunsan University) ;
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Park, Jin-Bae
(Department of Electrical Engineering, Yonsei University)
- Published : 1999.10.01
Abstract
In this paper, piecewise quadratic Lyapunov functions are used to analyze the stability of fuzzy-model-based controller. We represent the nonlinear system using a Takagi-Sugeno fuzzy model, which represent the given nonlinear system by fuzzy inference rules and local linear dynamic models. The proposed stability analysis technique is developed by dividing the whole fuzzy system into the smaller separate fuzry systems to reduce the conservatism. Some necessary and sufficient conditions for the proposed method are obtained. Finally, stability of the closed system with various kinds of controller for TS fuzzy model is checked through the proposed method.
Keywords