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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
|Issue Date: ||2002 |
|Citation: ||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.|
|Rights: ||© 2002 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
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|Type: ||Conference Paper|
|Appears in Collections:||EIE Conference Papers & Presentations|
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