The artificial neural network applied to servo control system

被引：0

作者：

Kang, Yuan ^{[1
]}

Chu, Min-Hwei ^{[1
]}

Chen, Min-Chou ^{[1
]}

机构：

[1] Chung Yuan Christian Univ, Dept Mech Engn, Chungli, Taiwan

来源：

TRENDS IN NEURAL COMPUTATION | 2007年 / 35卷

关键词：

direct neural controls; servo control; specialized learning architectures; multiple neural networks; neural tuner;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This chapter describes the basic neural network controllers. The neural controls with specialized learning architecture are introduced. The direct neural controls with the approximation of Jacobian are discussed and simulated. The adaptive control using multiple neural networks, which consists of a direct neural controller, a neural emulator and a neural tuner; is proposed. The neural emulator is used to approximate the Jacobian of plant. The linear combination of error and the error's differential is used to approximate the back propagation error for weights update. The neural tuner is an online neural network can perform the tuning of key parameters of the linear combination.

引用

页码：461 / +

页数：4

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