Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1426
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
Genetic algorithms
Lyapunov methods
Mathematical models
Matrix algebra
Membership functions
Multivariable control systems
Nonlinear control systems
Pendulums
System stability
Issue Date: 2002
Publisher: IEEE
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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Type: Conference Paper
URI: http://hdl.handle.net/10397/1426
ISBN: 0-7803-7280-8
Appears in Collections:EIE Conference Papers & Presentations

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