DocumentCode :
1992315
Title :
New Smith Predictor and BPNN Control for Networked Control Systems
Author :
Du Feng ; Du Wencai
Author_Institution :
Coll. of Inf. Sci. & Technol., Hainan Univ., Haikou
Volume :
2
fYear :
2008
fDate :
21-22 Dec. 2008
Firstpage :
600
Lastpage :
603
Abstract :
This paper aims at time-variant or uncertain network delay in the networked control systems (NCS), a novel approach is proposed that new Smith predictor combined with back propagation neural network (BPNN) control.Because this new Smith predictor doesnpsilat include network delay model, therefore network delay doesnpsilat need to be measured, identified or estimated on-line, it is applicable to some occasions that network delay is random, timevariantor uncertain in the NCS. Based on CSMA/AMP (CAN bus), the results of simulation show validity of the control scheme.
Keywords :
backpropagation; delays; neurocontrollers; time-varying systems; uncertain systems; BPNN control; CAN bus; CSMA/AMP; Smith predictor; back propagation neural network control; network delay model; networked control systems; Communication system control; Control systems; Delay effects; Delay estimation; Educational technology; Multiaccess communication; Networked control systems; Neural networks; Predictive models; Sampling methods; Networked Control Systems; Smith predictor; network delay;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3563-0
Type :
conf
DOI :
10.1109/ETTandGRS.2008.344
Filename :
5070437
Link To Document :
بازگشت