DocumentCode
3156734
Title
Using genetic algorithms in fine-tuning of fuzzy logic controller
Author
Yu, Jingzhe ; Ye, Zhen ; GUO, Chen
Author_Institution
Dept. of Autom. Control, Dalian Maritime Univ., China
Volume
1
fYear
1997
fDate
28-31 Oct 1997
Firstpage
597
Abstract
This paper presents a novel and robust GA-fuzzy controller structure. This controller incorporates genetic algorithms and fuzzy logic in order to control the complicated nonlinear plant. The GA is used to optimize the parameters of fuzzy logic and its control rules. The results of simulation studies for an industrial plant and inverted pendulum demonstrate that the controller is robust and efficient
Keywords
fuzzy control; genetic algorithms; nonlinear control systems; optimal control; robust control; tuning; control rules; fine tuning; fuzzy logic; fuzzy logic controller; genetic algorithms; industrial plant; inverted pendulum; nonlinear plant; optimal control; parameter optimization; robust controller; simulation; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Genetic algorithms; Industrial plants; Nonlinear control systems; Robust control; Search methods; Shape control;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-4253-4
Type
conf
DOI
10.1109/ICIPS.1997.672854
Filename
672854
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