Knowledge Commons of Institute of Automation,CAS
BP neural network prediction-based variable-period sampling approach for networked control systems | |
Yi, Jianqiang; Wang, Qian; Zhao, Dongbin; Wen, John T. | |
发表期刊 | APPLIED MATHEMATICS AND COMPUTATION |
2007-02-15 | |
卷号 | 185期号:2页码:976-988 |
文章类型 | Article |
摘要 | The 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. |
关键词 | Bp Algorithm Control Networked Control System Neural Network Modeling Prediction Sampling |
WOS标题词 | Science & Technology ; Physical Sciences |
收录类别 | SCI ; ISTP |
语种 | 英语 |
WOS研究方向 | Mathematics |
WOS类目 | Mathematics, Applied |
WOS记录号 | WOS:000245762700020 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/9419 |
专题 | 09年以前成果 |
通讯作者 | Yi, Jianqiang |
作者单位 | 1.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 |
推荐引用方式 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. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
2007 AMC - BP neural(270KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论