Novel Smith Predictor and BPNN for Wireless 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：

wireless networked control systems (WNCS); back propagation neural network(BPNN); Smith predictor; network delay; H-INFINITY CONTROL; DELAYS;

D O I：

10.1109/APCIP.2009.24

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In order to effectively restrain the impact of network delays which are brought because of bandwidth constraint, path loss, signal attenuation and ambient noise in wireless networked control systems (WNCS), aiming at time-variant network delays and imprecise Smith predictor models, a new approach is proposed that novel Smith dynamic predictor combined with back propagation neural network (BPNN) control. Because new Smith predictor does not include network delay models, therefore network delays do not need to be measured, identified or estimated on-line, it is applicable to some occasions that network delays are random, time-variant or uncertain. Based on IEEE 802.11 b/g (WLAN), the results of simulation experiment show validity of the control scheme.

引用

页码：63 / 66

页数：4

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