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 systems; then such elements as the appropriate gauges can be chosen so that the stability can be guaranteed.
|Number of pages||6|
|Journal||IEEE International Conference on Fuzzy Systems|
|State||Published - 2002|
|Event||2002 IEEE International Conference on Fuzzy Systems: FUZZ-IEEE'02 - Honolulu, HI, United States|
Duration: 12 May 2002 → 17 May 2002