Neural Network Controller Design for Uncertain Nonlinear Systems Based on Backstepping Control Algorithm

被引：0

作者：

Zhang, Xiulan ^{[1
]}

Ma, Xiaoxia ^{[2
]}

Zhu, Hongqi ^{[2
]}

Liu, Heng ^{[3
]}

机构：

[1] Huainan Normal Univ, Coll Elect Engn, Huainan 232038, Peoples R China

[2] Huainan Normal Univ, Dept Appl Math, Huainan 232038, Peoples R China

[3] Shaanxi Normal Univ, Coll Math & Informat Sci, Xian 710119, Shaanxi, Peoples R China

来源：

2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2017年

基金：

中国国家自然科学基金;

关键词：

Neural network; uncertain nonlinear system; backstepping control; TRACKING CONTROL; CHAOTIC SYSTEMS; SYNCHRONIZATION;

D O I：

暂无

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 investigates the control problem for a class of nonlinear systems having strict feedback structure with system uncertainties by using adaptive neural network backstepping control technique. In order to solve the "explosion of terms" problem that appears in backstepping design procedure, the derivative of the virtual control input signals and the unknown functions are approximated by neural networks. The controller proposed in this paper has a simple form. At last numerical simulations are given to confirm the results of this paper.

引用

页码：1623 / 1627

页数：5

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