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|Title: ||Stable fuzzy controller design for uncertain nonlinear systems : genetic algorithm approach|
|Authors: ||Leung, Frank H. F.|
Lam, H. K.
Tam, Peter K. S.
|Subjects: ||Computer simulation|
Nonlinear control systems
|Issue Date: ||2003 |
|Citation: ||FUZZ-IEEE 2003 : proceedings of the 12th IEEE International Conference on Fuzzy Systems : Sunday 25 May-Wednesday 28 May, 2003, St. Louis, Missouri, USA, p. 500-505.|
|Abstract: ||This paper addresses the stable fuzzy controller design problem of nonlinear systems. The methodology is based on a fuzzy logic approach and the genetic algorithm (GA). In order to analyze the system stability, the TSK fuzzy plant model is employed to describe the dynamics of the nonlinear plant. A fuzzy controller is then developed to close the feedback loop. The stability conditions are derived. The feedback gains of the fuzzy controller and the solution for meeting the stability conditions are determined using the GA. An application example on stabilizing an inverted pendulum system will be given. Simulation and experimental results will be presented to verify the applicability of the proposed approach.|
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|Type: ||Conference Paper|
|Appears in Collections:||EIE Conference Papers & Presentations|
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