A Hybrid Time-delay Prediction Method for Networked Control System

被引：0

作者：

Zhong-Da Tian ^{[1
]}

Xian-Wen Gao ^{[1
]}

Kun Li ^{[1
]}

机构：

[1] School of Information Science & Engineering,Northeastern University

来源：

Machine Intelligence Research | 2014年 / 11卷 / 01期

基金：

中国国家自然科学基金;

关键词：

Networked control system; wavelet transform; auto-regressive integrated moving average model; echo state network; genetic algorithm; time-delay prediction;

D O I：

暂无

中图分类号：

TP273 [自动控制、自动控制系统];

学科分类号：

080201 ; 0835 ;

摘要：

This paper presents an Ethernet based hybrid method for predicting random time-delay in the networked control system.First,db3 wavelet is used to decompose and reconstruct time-delay sequence,and the approximation component and detail components of time-delay sequences are fgured out.Next,one step prediction of time-delay is obtained through echo state network(ESN)model and auto-regressive integrated moving average model(ARIMA)according to the diferent characteristics of approximate component and detail components.Then,the fnal predictive value of time-delay is obtained by summation.Meanwhile,the parameters of echo state network is optimized by genetic algorithm.The simulation results indicate that higher accuracy can be achieved through this prediction method.

引用

页码：19 / 24

页数：6

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