Adaptive Fuzzy Control of a Class of Nonlinear Systems by Fuzzy Approximation Approach

被引：398
作者：
Chen, Bing [1 ]
Liu, Xiaoping P. [2 ]
Ge, Shuzhi Sam [3 ,4 ,5 ]
Lin, Chong [1 ]
机构：
[1] Qingdao Univ, Inst Complex Sci, Qingdao 266071, Peoples R China
[2] Lakehead Univ, Fac Engn, Thunder Bay, ON P7A 5E1, Canada
[3] Univ Elect Sci & Technol China, Inst Robot, Chengdu 611813, Peoples R China
[4] Univ Elect Sci & Technol China, Sch Comp Sci & Engn, Chengdu 611813, Peoples R China
[5] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore 117576, Singapore
来源：
IEEE TRANSACTIONS ON FUZZY SYSTEMS | 2012年 / 20卷 / 06期
基金：
中国国家自然科学基金;
关键词：
Adaptive fuzzy control; fuzzy logic systems; nonstrict-feedback systems; OUTPUT-FEEDBACK CONTROL; SMALL-GAIN APPROACH; NEURAL-CONTROL; BACKSTEPPING CONTROL; TRACKING CONTROL; ROBUST-CONTROL; NN CONTROL; STABILIZATION; STABILITY; NETWORKS;
D O I：
10.1109/TFUZZ.2012.2190048
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Controlling nonstrict-feedback nonlinear systems is a challenging problem in control theory. In this paper, we consider adaptive fuzzy control for a class of nonlinear systems with nonstrict-feedback structure by using fuzzy logic systems. A variable separation approach is developed to overcome the difficulty from the nonstrict-feedback structure. Furthermore, based on fuzzy approximation and backstepping techniques, a state feedback adaptive fuzzy tracking controller is proposed, which guarantees that all of the signals in the closed-loop system are bounded, while the tracking error converges to a small neighborhood of the origin. Simulation studies are included to demonstrate the effectiveness of our results.
引用
收藏
页码：1012 / 1021
页数：10
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