Title :
Application of Genetic Algorithm in Optimization of Fuzzy Control Rules
Author :
Zhang, JingYuan ; Li, YeDe
Author_Institution :
Sch. of Sci. & Technol. of Comput., Shandong Univ. of Technol., Zibo
Abstract :
The property of fuzzy controller is determined by the fuzzy-control rules. Optimisation of fuzzy-control rules has been the bottle-neck problem of the fuzzy controller design. Based on thorough understanding of integrality, consistency and optimization of fuzzy-control rules, this paper provides an improved genetic algorithm for optimization of fuzzy-control rules, and also, it offers the operator of a genetic algorithm. The fuzzy controller designed with the optimized rules is verified by its simulation experiments
Keywords :
control system synthesis; fuzzy control; genetic algorithms; fuzzy control rules; fuzzy controller design; genetic algorithm; optimization; Analytical models; Context modeling; Design optimization; Error correction; Fuzzy control; Genetic algorithms; Kilns; Linearity; Mathematical model; Temperature control;
Conference_Titel :
Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
Conference_Location :
Jinan
Print_ISBN :
0-7695-2528-8
DOI :
10.1109/ISDA.2006.102
