Neural adaptive control for a class of nonlinear systems with unknown deadzone

被引：0
作者：
Zhonghua Wang
Yong Zhang
Hui Fang
机构：
[1] University of Jinan,School of Control Science and Engineering
来源：
Neural Computing and Applications | 2008年 / 17卷
关键词：
Deadzone; Adaptive control; Neural networks; Nonlinear systems; Backstepping; Robust control;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper focuses on the adaptive control of a class of nonlinear systems with unknown deadzone using neural networks. By constructing a deadzone pre-compensator, a neural adaptive control scheme is developed using backstepping design techniques. Transient performance is guaranteed and semi-globally uniformly ultimately bounded stability is obtained. Another feature of this scheme is that the neural networks reconstruction error bound is assumed to be unknown and can be estimated online. Simulation results are given to demonstrate the effectiveness of the proposed controller.
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页码：339 / 345
页数：6
相关论文
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