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一类新的基于神经网络预测的变周期网络控制系统采样方案
引用本文:刘建刚,;刘碧玉,;李美兰.一类新的基于神经网络预测的变周期网络控制系统采样方案[J].佳木斯工学院学报,2009(3):356-358.
作者姓名:刘建刚  ;刘碧玉  ;李美兰
作者单位:[1]福建工程学院数理系,福建福州350108; [2]中南大学数学科学与计算技术学院,湖南长沙410083
基金项目:福建工程学院青年科研发展基金和中国博士后基金资助(2007D410990).
摘    要:提出了一类新的能够减轻时延对网络控制系统影响的基于神经网络预测的变周期网络控制系统采样方法,简要论述了在网络控制系统中融入了BP神经网络后,如何对它进行建模、分析、控制,被选作采样周期的时延可以利用BP神经网络工具进行在线预测,文中还给出了一种新的可以应用于生产实践的网络控制系统推广模型.

关 键 词:网络控制系统  周期采样  神经网络预测

A New Variable - period Sampling Scheme for Networked Control Systems with Random Time Delay Based on BP Neural Network Prediction
Affiliation:LIU Jian - gang, LIU Bi - yu, LI Mei - lan ( 1. Department of Mathmmtical & Science, Fujian University of Technology, Fuzhou 350108, China; 2. College of Mathematical Science & Compuling Technology, Central South University, Changsha 410083, China)
Abstract:A new variable - period sampling scheme for networked control systems with random time delay based on BP neural network prediction is given so as to alleviate the influence of the time delay on networked control systems. How to model, analyze and control networked control systems adopting BP neural network is specially pre- sented in this paper. The time delay that can be predicted online using BP neural network tool is chosen as the sam- pling period. A new generalized model that can be applied in the practical condition is strongly recommended.
Keywords:networked control system  variable - period sampling scheme  neural network prediction
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