On stability of fuzzy control systems using a fuzzy modeling method

Author

Furuhashi, Takeshi ; Horikawa, Shin-ichi ; Uchikawa, Yoshiki

Author_Institution

Dept. of Electron.-Mech. Eng., Nagoya Univ., Japan

fYear

1992

fDate

9-13 Nov 1992

Firstpage

982

Abstract

The authors present an analysis method on stability of fuzzy control systems using a fuzzy modeling method. A fuzzy neural network (FNN) which is capable of acquiring fuzzy rules is used for obtaining the fuzzy model of the controller object. A new definition of the stability of fuzzy control systems is also presented. Since both the controlled object and the controller are described with linguistic rules, i.e., fuzzy if-then rules, the stability analysis can be done linguistically. Although the new definition of stability is not mathematically rigorous, the process of analysis based on the definition is very simple and easy to understand, even to those who have little knowledge of control theory. For the verification of the proposed method, simulations were carried out by using a simple nonlinear plant

Keywords

control system analysis; fuzzy control; neural nets; stability; control system analysis; control theory; fuzzy control systems; fuzzy modeling method; fuzzy neural network; linguistic rules; stability; Abstracts; Control systems; Equations; Fuzzy control; Fuzzy neural networks; Fuzzy systems; Home appliances; Nonlinear control systems; Product design; Stability analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, Control, Instrumentation, and Automation, 1992. Power Electronics and Motion Control., Proceedings of the 1992 International Conference on

Conference_Location

San Diego, CA

Print_ISBN

0-7803-0582-5

Type

conf

DOI

10.1109/IECON.1992.254450

Filename

254450