Title :
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
fDate :
6/24/1905 12:00:00 AM
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;
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
DOI :
10.1109/FUZZ.2002.1004995
