Tuning fuzzy control rules via genetic algorithms

被引：1
|
作者：
Lagunas-Jimenez, Ruben [1 ]
Pitalua-Diaz, Nun [1 ]
机构：
[1] Univ Autonoma Campeche, Campeche, Mexico
来源：
CERMA 2007: ELECTRONICS, ROBOTICS AND AUTOMOTIVE MECHANICS CONFERENCE, PROCEEDINGS | 2007年
关键词：
D O I：
10.1109/CERMA.2007.4367714
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper a simple genetic algorithm is used to tuner a fuzzy controller. The genetic algorithm is used off-line in order to find the better rules by an optimization procedure. The considered plant is an experimental D.C. servosystem, and the problem control corresponds to the control of the angular position. The genetic algorithm operates with populations who correspond to consequents of the rule base.
引用
收藏
页码：364 / 369
页数：6
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