NEURAL NETWORKS FOR CONTROL-SYSTEMS - A SURVEY

被引：1185

作者：

HUNT, KJ

SBARBARO, D

ZBIKOWSKI, R

GAWTHROP, PJ

机构：

[1] Control Group, Department of Mechanical Engineering, University of Glasgow, Glasgow

来源：

AUTOMATICA | 1992年 / 28卷 / 06期

关键词：

NEURAL NETWORKS; NONLINEAR CONTROL SYSTEMS; NONLINEAR SYSTEMS MODELING; SYSTEMS IDENTIFICATION;

D O I：

10.1016/0005-1098(92)90053-I

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 focuses on the promise of artificial neural networks in the realm of modelling, identification and control of nonlinear systems. The basic ideas and techniques of artificial neural networks are presented in language and notation familiar to control engineers. Applications of a variety of neural network architectures in control are surveyed. We explore the links between the fields of control science and neural networks in a unified presentation and identify key areas for future research.

引用

页码：1083 / 1112

页数：30

共 186 条

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