DocumentCode
3344504
Title
The Optimizing of Fuzzy Control Rule Based on Particle Swarm Optimization Algorithms
Author
Wei, Sun ; Liu, Ming Ming ; Song, Yong Bao
Author_Institution
Sch. of Inf. & Electr. Eng., CUMT, Xuzhou, China
fYear
2009
fDate
14-17 Oct. 2009
Firstpage
645
Lastpage
648
Abstract
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.
Keywords
control system synthesis; fuzzy control; fuzzy set theory; particle swarm optimisation; fuzzy control rule optimization; fuzzy controller design; fuzzy subsets; particle swarm optimization algorithms; Fuzzy control; Genetics; Particle swarm optimization; fuzzy control; optimizing rule; particle swarm optimization (PSO) algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on
Conference_Location
Guilin
Print_ISBN
978-0-7695-3899-0
Type
conf
DOI
10.1109/WGEC.2009.186
Filename
5402752
Link To Document