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A genetic-algorithm-and-table-rotating-based method for optimizing fuzzy control rules

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3 Author(s)
Zhang Manhuai ; Dept. of Comput. Sci. & Eng., Guangdong Univ. of Technol., Guangzhou, China ; Yu Yongquan ; Zeng Bi

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

Published in:

Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on  (Volume:3 )

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