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http://dx.doi.org/10.5391/IJFIS.2005.5.2.145

Indirect Adaptive Fuzzy Sliding Mode Control for Nonaffine Nonlinear Systems  

Seo, Sam-Jun (Dept. of Electrical and Electronic Eng., Anyang University)
Publication Information
International Journal of Fuzzy Logic and Intelligent Systems / v.5, no.2, 2005 , pp. 145-150 More about this Journal
Abstract
We proposed the indirect adaptive fuzzy model based sliding mode controller to control nonaffine nonlinear systems. Takagi-Sugano fuzzy system is used to represent the nonaffine nonlinear system and then inverted to design the controller at each sampling time. Also sliding mode component is employed to eliminate the effects of disturbances, while a fuzzy model component equipped with an adaptation mechanism reduces modeling uncertainties by approximating model uncertainties. The proposed controller and adaptive laws guarantee that the closed-loop system is stable in the sense of Lyapunov and the output tracks a desired trajectory asymptotically.
Keywords
Takagi-Sugano fuzzy system; nonaffine nonlinear system; fuzzy sliding mode control;
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