Title :
Fuzzy control of nonlinear plants through rule-based cooperative particle swarm optimization
Author :
Juang, Chia-Feng ; Lu, Chun-Feng ; Hsiao, Che-Meng ; Hsu, Chia-Hung
Author_Institution :
Dept. of Electr. Eng., Nat. Chung-Hsing Univ., Taichung, Taiwan
Abstract :
This paper applies rule-based cooperative particle swarm optimization (RCPSO) to fuzzy controller design. Initially, there are no rules in the RCPSO-designed fuzzy rule-based system. An on-line clustering-based algorithm is used to generate new fuzzy rules automatically during fuzzy control process. For each newly generated fuzzy rule, the RCPSO optimizes all of its antecedent and consequent parameters using the idea of cooperative particle swarm optimization. Performance of the RCPSO is verified through a nonlinear plant control problem.
Keywords :
control system synthesis; cooperative systems; fuzzy control; fuzzy set theory; fuzzy systems; knowledge based systems; nonlinear control systems; particle swarm optimisation; fuzzy controller design; fuzzy rule; nonlinear plant control; online clustering based algorithm; rule based cooperative particle swarm optimization; Algorithm design and analysis; Clustering algorithms; Fuzzy control; Mathematical model; Optimization; Particle swarm optimization; Training data; fuzzy control; fuzzy system optimization; particle swarm optimization; structure lerning;
Conference_Titel :
SICE Annual Conference 2010, Proceedings of
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-7642-8
