Adaptive Robust Fuzzy Control for a Class of Uncertain Nonlinear Systems in Pure-Feedback Form

被引：1
|
作者：
Kang, Qiang [1 ]
Wang, Wei [1 ]
Liu, Yanjun [1 ]
机构：
[1] Dalian Univ Technol, Res Ctr Informat & Control, Dalian 116023, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL 1, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/ICICTA.2008.72
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper studies an adaptive fuzzy control problem for a class of uncertain nonlinear systems in the pure-feedback form. Compared with the existing approaches, the tow main advantages are that the proposed algorithm can be implemented by utilizing only one fuzzy logic systems (FLS) approximator and the robustness of the closed-loop system is improved. The proposed adaptive fuzzy control algorithm can guarantee that all the signals of the closed-loop System are uniformly bounded and the tracking errors converge to an arbitrary small neighborhood around zero. The feasibility of the proposed algorithm is obtained by a simulation example.
引用
收藏
页码：294 / 298
页数：5
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