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BP neural network prediction-based variable-period sampling approach for networked control systems
Yi, Jianqiang; Wang, Qian; Zhao, Dongbin; Wen, John T.
Source PublicationAPPLIED MATHEMATICS AND COMPUTATION
2007-02-15
Volume185Issue:2Pages:976-988
SubtypeArticle
AbstractThe biggest problem that networked control systems face is the random time-varying delay, which often causes system instability and even collapse. Aiming at this problem, a new modeling scheme for the networked control systems, motivated from a variable-period sampling approach, is presented in this paper. Here, the time delay to occur at current sampling step is taken as the sampling period between current sampling step and next sampling step. To predict online the time delay induced in the networked control systems, a BP feedforward neural network is adopted and the training algorithm of the BP neural network is given. To make the BP neural network adapt to the changing environment of the networked control systems and improve its prediction accuracy, the BP neural network is designed to further update according to its prediction error after each prediction. At each sampling step, good approximation to actual time delay becomes available and different sampling period is obtained. Control simulations using the variable sampling period and fixed sampling period are compared. Simulation results show that this new approach can alleviate the influence of time delay to the greatest extent and improve the performance of the networked control systems. (c) 2006 Elsevier Inc. All rights reserved.
KeywordBp Algorithm Control Networked Control System Neural Network Modeling Prediction Sampling
WOS HeadingsScience & Technology ; Physical Sciences
Indexed BySCI ; ISTP
Language英语
WOS Research AreaMathematics
WOS SubjectMathematics, Applied
WOS IDWOS:000245762700020
Citation statistics
Cited Times:68[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9419
Collection09年以前成果
Corresponding AuthorYi, Jianqiang
Affiliation1.Chinese Acad Sci, Inst Automat, Lab Complex Syst & Intelligence Sci, Beijing 100080, Peoples R China
2.Techfaith Wireless Commun Technol Beijing Co Ltd, Beijing 100016, Peoples R China
3.Rensselaer Polytech Inst, Dept Elect Comp & Syst Engn, Troy, NY 12180 USA
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GB/T 7714
Yi, Jianqiang,Wang, Qian,Zhao, Dongbin,et al. BP neural network prediction-based variable-period sampling approach for networked control systems[J]. APPLIED MATHEMATICS AND COMPUTATION,2007,185(2):976-988.
APA Yi, Jianqiang,Wang, Qian,Zhao, Dongbin,&Wen, John T..(2007).BP neural network prediction-based variable-period sampling approach for networked control systems.APPLIED MATHEMATICS AND COMPUTATION,185(2),976-988.
MLA Yi, Jianqiang,et al."BP neural network prediction-based variable-period sampling approach for networked control systems".APPLIED MATHEMATICS AND COMPUTATION 185.2(2007):976-988.
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