Title :
The optimized fuzzy logic in control systems
Author :
De-jiang, Yu ; Zhong-yuan, Mao ; Qi-Jie, Zhou ; Leung, T.P.
Author_Institution :
Dept. of Autom., South China Univ. of Technol., Guangzhou, China
Abstract :
Fuzzy logic control has found a great number of applications and it is considered as a new and more effective technique for handling the systems with uncertainty and/or imprecise factors in control. In this paper we come up with a new design method of optimization for fuzzy logic controller. The procedures to directly optimize the control rules in the defuzzification process are provided. The simulation results with stable and unstable models are given in curves and discussed
Keywords :
control system synthesis; fuzzy control; optimal control; uncertain systems; control systems; defuzzification; fuzzy logic control; imprecise factors; optimized fuzzy logic; uncertainty; Automatic control; Automation; Control systems; Design methodology; Design optimization; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Uncertainty;
Conference_Titel :
Industrial Technology, 1994., Proceedings of the IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
0-7803-1978-8
DOI :
10.1109/ICIT.1994.467203