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
来源：
FUZZY SETS AND SYSTEMS | 1992年 / 47卷 / 01期
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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