Multi-variable decoupling control based on compound orthogonal neural network

被引：0

作者：

Ye Jun ^{[1
]}

Bai Zhong-xi ^{[1
]}

机构：

[1] Shaoxing Coll Arts & Sci, Dept Mechatron Engn, Shaoxing 312000, Peoples R China

来源：

Proceedings of 2005 Chinese Control and Decision Conference, Vols 1 and 2 | 2005年

关键词：

compound orthogonal neural network; multi-variable systems; decoupling control;

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：

For a class of multi-variable decoupling control based on neural network, the multi-variable decoupling control method based on compound orthogonal neural network is proposed. The advantages of the decoupling control are that the system model and information of Jacobian matrix do not need to be identified in unknown systems. The simulation results show that the neural network decoupling control has fast response high control accuracy, and strong adaptive ability. The control method of decoupling control is proved to be effective and good control performance. It provides a new method to solve the control problem with - a class of unknown multi-variable decoupling control.

引用

页码：155 / +

页数：3