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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 被引量:1

A New Variable-period Sampling Scheme for Networked Control Systems with Random Time Delay Based on BP Neural Network Prediction
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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. 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.
出处 《佳木斯大学学报(自然科学版)》 CAS 2009年第3期356-358,共3页 Journal of Jiamusi University:Natural Science Edition
基金 福建工程学院青年科研发展基金和中国博士后基金资助(20070410990)
关键词 网络控制系统 周期采样 神经网络预测 networked control system variable - period sampling scheme neural network prediction
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