Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/15433
Title: Optimization of stable rules for fuzzy controller using genetic algorithms
Authors: Chan, PT
Tsang, KM 
Rad, AB
Keywords: Fuzzy systems
Genetic algorithms
Stable rules
Issue Date: 2003
Source: Control and intelligent systems, 2003, v. 31, no. 3, p. 133-137 How to cite?
Journal: Control and Intelligent Systems 
Abstract: This article proposes a stable fuzzy system (FS) optimized by genetic algorithm (GA). The FS uses GA to search the optimal fuzzy rules. As GA has some random properties, which may cause unstability, a supervisory controller (designed by Lyapunov stability analysis) is used to ensure the stability of the system. The algorithm is designed to combine a priori knowledge of the system and mechanisms of GA to improve the convergence of the optimization. The efficiency of the approach is verified by computer simulation.
URI: http://hdl.handle.net/10397/15433
ISSN: 1480-1752
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