Title :
A genetic-algorithm-and-table-rotating-based method for optimizing fuzzy control rules
Author :
Manhuai, Zhang ; Yongquan, Yu ; Bi, Zeng
Author_Institution :
Dept. of Comput. Sci. & Eng., Guangdong Univ. of Technol., Guangzhou, China
Abstract :
It has been demonstrated many times in practice that fuzzy logic controllers have an important role in rule-based expert systems. However, it is essential for a fuzzy logic controller to have an appropriate set of rules to perform at the desired level. The linguistic structure of the fuzzy logic controller allows a tentative linguistic policy to be used as an initial rule base. At the design stage, if one can assemble a reasonably good collection of rules, it may then be possible to tune these rules to improve the controller performance. In the paper, a genetic-algorithm-and-table-rotating-based method for optimizing fuzzy control rules and the simulation result are presented. Finally, the results are discussed
Keywords :
fuzzy control; genetic algorithms; intelligent control; fuzzy control rules; fuzzy logic controllers; genetic-algorithm-and-table-rotating-based method; initial rule base; linguistic structure; rule-based expert systems; Assembly; Bismuth; Control systems; Expert systems; Fuzzy control; Fuzzy logic; Genetic algorithms; Optimization methods;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.862785
