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Title: A rule self-regulating fuzzy controller
Authors: Qiao, W.Z.
Zhuang, W.P. 
Heng, T.H. 
Shan, S.S.
Keywords: control rules
fuzzy control
Fuzzy logic
self organization
Issue Date: 10-Apr-1992
Citation: Qiao, W.Z.,Zhuang, W.P.,Heng, T.H.,Shan, S.S. (1992-04-10). A rule self-regulating fuzzy controller. Fuzzy Sets and Systems 47 (1) : 13-21. ScholarBank@NUS Repository.
Abstract: The most effective way to improve the performance of a fuzzy controller may be to optimize the fuzzy control rules. Usually fuzzy control rules are generated by: (1) translating the operators' experience into fuzzy linguistic form directly; (2) monitoring and summarizing the control behaviour of the operators; (3) modelling the process to be controlled using fuzzy set theory; (4) self organizing in running of the control systems. Different from the above means, the authors in [10] have proposed a method to regulate fuzzy control rules where the control rules are represented by an analytic expression with a regulating factor α. The authors in this paper employ such a method and use a simplified fuzzy control algorithm which allows fuzzy control rules to be regulated on line, thus constructing a Rule Self-regulating Fuzzy Controller (RSFC). Simulation results demonstrate that the performance of RSFC is better than that of a non-rule-regulating fuzzy controller. © 1992.
Source Title: Fuzzy Sets and Systems
ISSN: 01650114
Appears in Collections:Staff Publications

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