Adaptive dynamic surface control of nonlinear systems with unknown dead zone in pure feedback form

被引：726
|
作者：
Zhang, T. P. [1 ,2 ]
Ge, S. S. [1 ]
机构：
[1] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore 117576, Singapore
[2] Yangzhou Univ, Coll Informat Engn, Dept Automat, Yangzhou 225009, Peoples R China
来源：
AUTOMATICA | 2008年 / 44卷 / 07期
关键词：
adaptive control; neural networks; dynamic surface control; pure-feedback nonlinear systems; dead zone;
D O I：
10.1016/j.automatica.2007.11.025
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, adaptive dynamic surface control (DSC) is developed for a class of pure-feedback nonlinear systems with unknown dead zone and perturbed uncertainties using neural networks. The explosion of complexity in traditional backstepping design is avoided by utilizing dynamic surface control and introducing integral-type Lyapunov function. It is proved that the proposed design method is able to guarantee semi-global uniform ultimate boundedness of all signals in the closed-loop system, with arbitrary small tracking error by appropriately choosing design constants. Simulation results demonstrate the effectiveness of the proposed approach. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码：1895 / 1903
页数：9
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