Adaptive fuzzy backstepping robust control for uncertain nonlinear systems based on small-gain approach

被引：68
|
作者：
Tong, Shaocheng [1 ]
He, Xianglei [1 ]
Li, Yongming [1 ]
Zhang, Huaguang [2 ]
机构：
[1] Liaoning Univ Technol, Dept Math, Jinzhou 121001, Peoples R China
[2] Northeastern Univ, Coll Informat, Shenyang 116024, Peoples R China
来源：
FUZZY SETS AND SYSTEMS | 2010年 / 161卷 / 06期
基金：
中国国家自然科学基金;
关键词：
Fuzzy control; Adaptive control; Nonlinear systems; Unmodeled dynamics; Dynamic disturbances; Backsteppng technique; Small-gain approach; OUTPUT-FEEDBACK CONTROL; DESIGN;
D O I：
10.1016/j.fss.2009.09.012
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper proposes an adaptive fuzzy robust control method for SISO nonlinear systems with nonlinear uncertainties, unmodeled dynamics and dynamic disturbances. Fuzzy logic systems are used to approximate the nonlinear uncertainties, with no prior knowledge of their bounds. Based on the modeled nonlinear uncertainties using fuzzy logic systems, a stable adaptive fuzzy backstepping robust controller is proposed by combining the backstepping technique with the small-gain approach. It is mathematically proven that the proposed adaptive fuzzy control approach can guarantee that the closed-loop system is uniformly bounded. The effectiveness of the proposed approach is illustrated via two examples. (C) 2009 Elsevier B.V. All rights reserved.
引用
收藏
页码：771 / 796
页数：26
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