A hybrid time-delay prediction method for networked control system

  • Authors:

  • Zhong-Da Tian;Xian-Wen Gao;Kun Li

  • Affiliations:

  • School of Information Science & Engineering, Northeastern University, Shenyang, China 110819;School of Information Science & Engineering, Northeastern University, Shenyang, China 110819;School of Information Science & Engineering, Northeastern University, Shenyang, China 110819

  • Venue:
  • International Journal of Automation and Computing
  • Year:
  • 2014

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Abstract

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 figured 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 different characteristics of approximate component and detail components. Then, the final 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.