Adaptive Neural Network Control for a Class of Uncertain Nonlinear Systems with Unknown Control Directions

被引：0
|
作者：
Chen, Gang [1 ]
机构：
[1] Chongqing Univ, Coll Automat, Chongqing 400044, Peoples R China
来源：
2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23 | 2008年
关键词：
Nonlinear systems; Unknown control direction; Neural network;
D O I：
10.1109/WCICA.2008.4594154
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A robust adaptive neural network control scheme is proposed for a class of strict-feedback nonlinear systems with unknown control directions and unmodeled dynamics. The proposed design method expands the class of nonlinear systems for which robust adaptive control approaches have been studied. A priori knowledge of the signs of the control directions is not required. It is proved that under the proposed control law, all the closed-loop signals are uniformly ultimately bounded and the output asymptotically converges to zero. Simulation study is provided to verify the theoretical results.
引用
收藏
页码：7853 / 7858
页数：6
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