Adaptive control of a class of nonlinear systems with a first-order parameterized Sugeno fuzzy approximator

被引：23
|
作者：
Alata, M [1 ]
Su, CY
Demirli, K
机构：
[1] Jordan Univ Sci & Technol, Dept Mech Engn, Irbid, Jordan
[2] Concordia Univ, Dept Mech Engn, Montreal, PQ H3G 1M8, Canada
来源：
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS | 2001年 / 31卷 / 03期
关键词：
adaptive control; fuzzy approximator; nonlinear systems; robustness; stability; Sugeno fuzzy systems;
D O I：
10.1109/5326.971670
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this Paper, an adaptive fuzzy control scheme for tracking of a class of continuous-time plants is presented. A parameterized Sugeno fuzzy approximator is used to adaptively compensate for the plant nonlinearities. All parameters in the fuzzy approximator are tuned using a Luapunov-based design. In the fuzzy approximator, first-order Sugeno consequents are used in the IF-THEN rules of the fuzzy system, which has a better approximation capability than those using constant consequents. Global boundedness of the adaptive system is established. Finally, a simulation is used to demonstrate the effectiveness of the proposed controller.
引用
收藏
页码：410 / 419
页数：10
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