Adaptive control of non-affine nonlinear systems using neural networks

被引：16

作者：

Ge, SS ^{[1
]}

Lee, TH ^{[1
]}

Wang, J ^{[1
]}

机构：

[1] Natl Univ Singapore, Dept Elect Engn, Singapore 117576, Singapore

来源：

PROCEEDINGS OF THE 2000 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT CONTROL | 2000年

关键词：

nonlinear system; adaptive control; neural networks; sliding mode control;

D O I：

10.1109/ISIC.2000.882892

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, an adaptive control approach is presented for a class of non-affine nonlinear systems using neural networks and sliding mode control. Firstly it is shown that the control of non-affine nonlinear system is equivalent to the control of the affine nonlinear system in the neighborhood of the operating trajectory under mild conditions. Then, an adaptive neural sliding mode controller is designed for the transformed nonlinear system. The proposed neural sliding mode controller can guarantee that the output tracking error of the system asymptotically converges to zero. Simulation results illustrate the effectiveness of the scheme.

引用

页码：13 / 18

页数：6

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