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
收藏
页码：19 / 24
页数：6
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