EXPERT FUZZY CONTROLLER

被引：18

作者：

BUCKLEY, JJ ^{[1
]}

YING, H ^{[1
]}

机构：

[1] KEMP CARRAWAY HEART INST,BIRMINGHAM,AL 35234

来源：

FUZZY SETS AND SYSTEMS | 1991年 / 44卷 / 03期

关键词：

EXPERT SYSTEMS; CONTROL THEORY;

D O I：

10.1016/0165-0114(91)90244-K

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

We describe a fuzzy controller based on our general purpose fuzzy expert system shell FLOPS. We take a decision theoretic view in designing an optimal fuzzy controller. The variables in the decision problem are: (1) the defuzzification rules; (2) the fuzzification rules; and (3) the fuzzy control rules. The objective function is composed of fuzzy goals specified for each system output. We differentiate between decision making under certainty, risk, or uncertainty depending whether or not random elements are present in the system. An example is presented illustrating varying the defuzzification rules to improve system performance.

引用

页码：373 / 390

页数：18

共 27 条

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