Title :
An application of fuzzy neural networks to a stability analysis of fuzzy control systems
Author :
Furuhashi, Takeshi ; Horikawa, Shin-ichi ; Uchikawa, Yoshiki
Author_Institution :
Dept. of Electron-Mech. Eng., Nagoya Univ., Japan
Abstract :
The authors present a method for analyzing the stability of fuzzy control systems using fuzzy neural networks (FNNs). The FNNs are capable of acquiring fuzzy rules and tuning the membership functions automatically with the backpropagation (BP) learning algorithm. One FNN is used to obtain a fuzzy model of the controlled object. The other FNN is trained to acquire a fuzzy model of the controller. A new definition of the stability of fuzzy control systems is also presented. Using the fuzzy controller and the fuzzy model obtained for the controlled object, a stability analysis based on the proposed definition is done linguistically and is very easy to understand
Keywords :
backpropagation; control system analysis; fuzzy control; neural nets; stability; backpropagation; fuzzy control systems; fuzzy model; fuzzy neural networks; fuzzy rules; learning algorithm; membership functions; stability analysis; tuning; Automatic control; Control systems; Electronic mail; Equations; Fuzzy control; Fuzzy neural networks; Fuzzy reasoning; Fuzzy systems; Neural networks; Stability analysis;
Conference_Titel :
Fuzzy Systems, 1993., Second IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0614-7
DOI :
10.1109/FUZZY.1993.327434
