PID neural networks for time-delay systems

被引：89

作者：

Shu, HL ^{[1
]}

Pi, YG

机构：

[1] Guangzhou Univ, Dept Elect & Mech Engn, Guangzhou 510091, Peoples R China

[2] GuangDong Acad Sci, Automat Engn R&M Ctr, Guangzhou 510070, Guangdong, Peoples R China

来源：

COMPUTERS & CHEMICAL ENGINEERING | 2000年 / 24卷 / 2-7期

关键词：

PID neural network; neurocontrol; time-delay system;

D O I：

10.1016/S0098-1354(00)00340-9

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

PID neural network (PIDNN) is a new kind of networks. II consists of three layers and its hidden layer's units are proportional (P), integral (I) and derivative (D) neurons. PIDNN's weights are adjusted by the back-propagation algorithms and it perform a perfect function in process control. In this paper, we introduce PIDNN structure and algorithm and give examples in which PIDNN is used to control time-delay systems. (C) 2000 Elsevier Science Ltd. All rights reserved.

引用

页码：859 / 862

页数：4