RBF Neural Network Control and Novel Smith Predictor for Networked Control Systems

被引：1

作者：

Du, Feng ^{[1
]}

Du, Wencai ^{[1
]}

机构：

[1] Hainan Univ, Coll Informat Sci & Technol, Hainan, Peoples R China

来源：

2009 ASIA-PACIFIC CONFERENCE ON INFORMATION PROCESSING (APCIP 2009), VOL 1, PROCEEDINGS | 2009年

关键词：

networked control systems (NCS); network delay; radial basis function neural network(RBFNN); Smith predictor;

D O I：

10.1109/APCIP.2009.25

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 aims to the random and uncertain network delays, a novel approach is proposed that new Smith predictor combined with adaptive PID control with RBF neural network for networked control systems (NCS). This novel Smith predictor comes true to hide predictor models of the network delays into real network data transmission processes, therefore network delays don't need to be measured, identified or estimated on-line. Based on CSMA/CD (Ethernet), the results of simulation show validity of this control scheme, and indicate that system has better dynamic performance and strong robustness

引用

页码：67 / 70

页数：4

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