The optimizing of fuzzy control rule based on particle swarm optimization algorithms

被引：0
|
作者：
Wei, Sun [1 ]
Liu, Mingming [1 ]
Song, Yongbao [1 ]
机构：
[1] CUMT, Sch Informat & Elect Engn, Xuzhou, Peoples R China
来源：
THIRD INTERNATIONAL CONFERENCE ON GENETIC AND EVOLUTIONARY COMPUTING | 2009年
关键词：
particle swarm optimization (PSO) algorithm; fuzzy control; optimizing rule;
D O I：
10.1109/WGEC.2009.186
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The selection of fuzzy control rule is one of the keys In fuzzy controller's design. The article introduces particle swarm optimization (PSO) algorithms optimizing fuzzy control rule in details, and applies the optimized rule to design fuzzy controller. The result of simulation shows that applying PSO to optimize fuzzy control rule is feasible and effective. It enlarges the application scope of PSO algorithms and provides a new way to design fuzzy controller.
引用
收藏
页码：645 / 648
页数：4
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