PID neural networks for time-delay systems

被引：87
|
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
收藏
页码：859 / 862
页数：4
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