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author:

Yu, F. (Yu, F..) [1] | Chen, D. (Chen, D..) [2] | Tang, X. (Tang, X..) [3]

Indexed by:

Scopus

Abstract:

The time-delay in the teleoperation system is an important parameter affecting the stability and performance. A time delay prediction method based on EMD(Empirical Mode Decomposition) and Elman neural network is proposed in this paper. Firstly, time delay sequence is separated into IMFs by EMD, then the first several IMFs are subtracted from time delay signals as noise. The sum of rest IMFs are taken as the input of Elman neural network to predict. Finally, computer simulation of teleoperation is built. The results of experiments indicate that the proposed method based on EMD and Elman neural network is more accurate and has better prediction ability than which is predicted by Elman neural network directly. © 2014 IEEE.

Keyword:

de-noise; Elman neural network; EMD; teleoperation

Community:

  • [ 1 ] [Yu, F.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 2 ] [Yu, F.]Research Center for Advanced Process Contro1, Fuzhou University, Fuzhou, China
  • [ 3 ] [Chen, D.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 4 ] [Chen, D.]Research Center for Advanced Process Contro1, Fuzhou University, Fuzhou, China
  • [ 5 ] [Tang, X.]College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China

Reprint 's Address:

  • [Yu, F.]College of Electrical Engineering and Automation, Fuzhou UniversityChina

Email:

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Source :

Proceedings - 2014 6th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2014

Year: 2014

Volume: 2

Page: 368-371

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 6

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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