B-Spline Neural-Network-Based Variable Structure Control for Electrohydraulic Servo Systems with Uncertainties

被引：1

作者：

Duan, Suolin ^{[1
]}

Zou, Ling ^{[1
]}

Ma, Zhenghua ^{[1
]}

机构：

[1] Jiangsu Polytech Univ, Dept Comp Sci & Engn, Changzhou 213164, South Korea

来源：

2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23 | 2008年

关键词：

B-Spline Neural-Network; variable Structure Controller; electrohydraulic force servo control system; uncertainties;

D O I：

10.1109/WCICA.2008.4593205

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 B-Spline Neural-Network-Based Variable Structure Controller (VSC) for a class of nonlinear systems with parameter uncertainties is presented. The neural networks compensator is used to compensate the uncertainties in the systems. The tracking performance and stability is guaranteed by the VSC controller. The asymptotical stability of overall systems is verified by the Lyapunov stability criterion. Simulation results of an electrohydraulic force servo control system show that the good tracking characteristic and robustness can be achieved by using the proposed method

引用

页码：1852 / 1857

页数：6

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