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

fYear

1993

fDate

1993

Firstpage

369

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1993., Second IEEE International Conference on

Conference_Location

San Francisco, CA

Print_ISBN

0-7803-0614-7

Type

conf

DOI

10.1109/FUZZY.1993.327434

Filename

327434