摘要
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.
| 原文 | ???core.languages.en_GB??? |
|---|---|
| 頁（從 - 到） | 250-255 |
| 頁數 | 6 |
| 期刊 | IEEE International Conference on Fuzzy Systems |
| 卷 | 1 |
| 出版狀態 | 已出版 - 2002 |
| 事件 | 2002 IEEE International Conference on Fuzzy Systems: FUZZ-IEEE'02 - Honolulu, HI, United States 持續時間: 12 5月 2002 → 17 5月 2002 |