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|Title:||Design and stability analysis of fuzzy model based nonlinear controller for nonlinear systems using genetic algorithm|
|Authors:||Lam, H. K.|
Leung, Frank H. F.
Tam, Peter K. S.
|Subjects:||Closed loop control systems|
Control system analysis
Control system synthesis
Multivariable control systems
Nonlinear control systems
|Source:||FUZZ-IEEE'02 : proceedings of the 2002 IEEE International Conference on Fuzzy Systems : May 12-17, 2002, Honolulu, Hawaii, p. 232-237.|
|Abstract:||This paper presents the stability analysis of fuzzy model based nonlinear control systems, and the design of nonlinear gains and feedback gains of the nonlinear controller using genetic algorithm with arithmetic crossover and non-uniform mutation. A stability condition will be derived based on Lyapunov's stability theory with a smaller number of Lyapunov conditions. The solution of the stability conditions are also determined using GA. An application example of stabilizing a cart-pole inverted pendulum system will be given to show the stabilizability of the nonlinear controller.|
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|Appears in Collections:||EIE Conference Papers & Presentations|
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