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author:

Yu, Fan (Yu, Fan.) [1] | Chen, Dan (Chen, Dan.) [2] (Scholars:陈丹) | Tang, Xusheng (Tang, Xusheng.) [3] (Scholars:唐旭晟)

Indexed by:

CPCI-S EI 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.

Keyword:

de-noise Elman neural network EMD teleoperation

Community:

  • [ 1 ] [Yu, Fan]Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou 350002, Peoples R China
  • [ 2 ] [Chen, Dan]Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou 350002, Peoples R China
  • [ 3 ] [Yu, Fan]Fuzhou Univ, Res Ctr Adv Proc Contro1, Fuzhou 350002, Peoples R China
  • [ 4 ] [Chen, Dan]Fuzhou Univ, Res Ctr Adv Proc Contro1, Fuzhou 350002, Peoples R China
  • [ 5 ] [Tang, Xusheng]Fuzhou Univ, Coll Mech Engn & Automat, Fuzhou 350002, Peoples R China

Reprint 's Address:

  • 俞凡

    [Yu, Fan]Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou 350002, Peoples R China

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Source :

2014 SIXTH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC), VOL 2

ISSN: 2157-8982

Year: 2014

Page: 368-371

Language: English

Cited Count:

WoS CC Cited Count: 4

SCOPUS Cited Count: 6

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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