Observer-Based Adaptive Fuzzy Backstepping Dynamic Surface Control for a Class of MIMO Nonlinear Systems

被引:469
作者
Tong, Shao-Cheng [1 ]
Li, Yong-Ming [1 ]
Feng, Gang [2 ]
Li, Tie-Shan [3 ]
机构
[1] Liaoning Univ Technol, Dept Math, Jinzhou 121001, Peoples R China
[2] City Univ Hong Kong, Dept Mfg Engn & Engn Management, Kowloon, Hong Kong, Peoples R China
[3] Dalian Maritime Univ, Nav Coll, Dalian 116026, Peoples R China
来源
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS | 2011年 / 41卷 / 04期
基金
中国国家自然科学基金;
关键词
Adaptive output-feedback control; backstepping design; dynamic-surface-control (DSC) technique; fuzzy-logic systems (FLSs); nonlinear multiple-input-multiple-output (MIMO) systems; stability analysis; NEURAL-CONTROL; ROBUST-CONTROL; FEEDBACK SYSTEMS; TRACKING CONTROL; DESIGN;
D O I
10.1109/TSMCB.2011.2108283
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, an adaptive fuzzy backstepping dynamic surface control (DSC) approach is developed for a class of multiple-input-multiple-output nonlinear systems with immeasurable states. Using fuzzy-logic systems to approximate the unknown nonlinear functions, a fuzzy state observer is designed to estimate the immeasurable states. By combining adaptive-backstepping technique and DSC technique, an adaptive fuzzy output-feedback backstepping-control approach is developed. The proposed control method not only overcomes the problem of "explosion of complexity" inherent in the backstepping-design methods but also overcomes the problem of unavailable state measurements. It is proved that all the signals of the closed-loop adaptive-control system are semiglobally uniformly ultimately bounded, and the tracking errors converge to a small neighborhood of the origin. Simulation results are provided to show the effectiveness of the proposed approach.
引用
收藏
页码:1124 / 1135
页数:12
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