A RULE SELF-REGULATING FUZZY CONTROLLER

被引:0
|
作者
WU, ZQ [1 ]
WANG, PZ [1 ]
TEH, HH [1 ]
机构
[1] BEIJING INST COMP TECHNOL & APPLICAT,BEIJING 100053,PEOPLES R CHINA
关键词
FUZZY LOGIC; FUZZY CONTROL; CONTROL RULES; SELF ORGANIZATION;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
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-alpha. 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.
引用
收藏
页码:13 / 21
页数:9
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