Robust analysis of fuzzy logic control systems with uncertainties

Author

Chu, Wen-Hou ; Fuh, Chyun-Chau ; Tung, Pi-Chen

Author_Institution

Dept. of Mech. Eng., Nat. Central Univ., Chung Li, Taiwan

Volume

1

fYear

2002

fDate

6/24/1905 12:00:00 AM

Firstpage

250

Lastpage

255

Abstract

In this paper, the robust stability of fuzzy control systems with uncertainties or nonlinearities is studied through the Popov-Lyapunov approach. Since solving an algebraic Riccati equation is the kernel of the proposed algorithm the method is feasible and easy to implement. In additional the proposed method has no fuzzy rule, inference engine, fuzzifier, or defuzzifier limitations. The resultant allowable uncertainty or nonlinearity bounds can help us to estimate the robust stability of a fuzzy control system; then such elements as the appropriate gauges can be chosen so that the stability can be guaranteed

Keywords

Lyapunov methods; Popov criterion; Riccati equations; control nonlinearities; control system analysis; fuzzy control; inference mechanisms; robust control; uncertain systems; Popov-Lyapunov approach; algebraic Riccati equation; fuzzy logic control systems; nonlinearity bounds; robust analysis; robust stability; uncertainty bounds; Control systems; Fuzzy control; Fuzzy logic; Inference algorithms; Kernel; Nonlinear equations; Riccati equations; Robust control; Robust stability; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on

Conference_Location

Honolulu, HI

Print_ISBN

0-7803-7280-8

Type

conf

DOI

10.1109/FUZZ.2002.1004995

Filename

1004995