Time-Delay Prediction Method of Networked Control System Based on EMD and LS-SVM

TIAN Zhong-da; GAO Xian-wen; LI Kun

doi:10.3969/j.issn.0372-2112.2014.05.006

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Time-Delay Prediction Method of Networked Control System Based on EMD and LS-SVM

更新时间：2025-07-16

- Time-Delay Prediction Method of Networked Control System Based on EMD and LS-SVM
- Acta Electronica Sinica Vol. 42, Issue 5, Pages: 868-874(2014)
- 作者机构：
  
  东北大学信息科学与工程学院,辽宁,沈阳,110819
- 作者简介：
- 基金信息：
  
  Key Program of National Natural Science Foundation of China (No.61034005)
- DOI：10.3969/j.issn.0372-2112.2014.05.006
  CLC： TP273
- Published：2014
- 稿件说明：
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TIAN Zhong-da, GAO Xian-wen, LI Kun. Time-Delay Prediction Method of Networked Control System Based on EMD and LS-SVM[J]. Acta Electronica Sinica, 2014, 42(5): 868-874.
DOI：

TIAN Zhong-da, GAO Xian-wen, LI Kun. Time-Delay Prediction Method of Networked Control System Based on EMD and LS-SVM[J]. Acta Electronica Sinica, 2014, 42(5): 868-874. DOI： 10.3969/j.issn.0372-2112.2014.05.006.

摘要

为了提高基于Internet的网络控制系统中随机时延的预测精度

提出了基于经验模式分解(empirical mode decomposition

EMD)与最小二乘支持向量机(Least Squared Support Vector Machines

LS-SVM)的一步时延预测方法.首先利用EMD将时延序列分解成若干个本征模式函数分量

分解后的分量去除了原始时延序列的长相关性

同时突出时延序列不同的局部特征.然后根据各个分量的变化规律

选择不同的LS-SVM模型分别进行预测.最后将各分量的预测值叠加得到最终的预测值.仿真结果表明本文方法具有较高的预测精度.

Abstract

In order to predict the random time-delay of Internet-based networked control system effectively

a hybrid one step time-delay forecasting method based on Empirical Mode Decomposition(EMD)and Least Squared Support Vector Machines(LS-SVM)is presented in the paper.Firstly

EMD algorithm can decompose time-delay sequences into some intrinsic mode functions(IMF)

the IMF after decomposed remove the long-range dependence of original time-delay sequences and prominent the different local feature of the time-delay sequences.Secondly

according to the change law of each IMF

chose different LS-SVM model to predict time-delay.At last

all the forecasted values corresponded to these partitions are superposed to get the forecasted time-delay.Simulation results show that the proposed method has higher prediction accuracy.

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