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
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;
Conference_Titel :
Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-0-7695-3899-0
DOI :
10.1109/WGEC.2009.186
