Indirect Adaptive Fuzzy Sliding Mode Control for Nonaffine Nonlinear Systems | Zendy

Sam-Jun Seo | Zendy

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Indirect Adaptive Fuzzy Sliding Mode Control for Nonaffine Nonlinear Systems

Author(s) -

Sam-Jun Seo

Publication year - 2005

Publication title -

international journal of fuzzy logic and intelligent systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.296

H-Index - 9

eISSN - 2093-744X

pISSN - 1598-2645

DOI - 10.5391/ijfis.2005.5.2.145

Subject(s) - control theory (sociology) , nonlinear system , controller (irrigation) , fuzzy logic , sliding mode control , trajectory , computer science , lyapunov function , adaptive control , fuzzy control system , mode (computer interface) , component (thermodynamics) , control (management) , artificial intelligence , physics , thermodynamics , quantum mechanics , astronomy , agronomy , biology , operating system

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

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