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

被引：24

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

页码：410 / 419

页数：10

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