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Cross-coupling control of dexterous hand based on neuron networks

  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, the author proposes a cross-coupling control approach based on neuron network, of which multiple parameters can be adjusted on line. According to the demand on the convergence of synchronization error in cross-coupling control, synchronization error item is introduced in this method to improve the performance function of BP (back propagation) neuron network, therefore it decreases synchronization error and meanwhile realizes the real-time adjustment of multiple parameters. The results of experiments show that compared with cross-coupling control method of which the parameters are stable, the method proposed in the paper holds the advantage that it can decrease position error and increase the stability of position tracking.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Mechatronics and Automation, ICMA 2012
Pages2269-2274
Number of pages6
DOIs
StatePublished - 2012
Event2012 9th IEEE International Conference on Mechatronics and Automation, ICMA 2012 - Chengdu, China
Duration: 5 Aug 20128 Aug 2012

Publication series

Name2012 IEEE International Conference on Mechatronics and Automation, ICMA 2012

Conference

Conference2012 9th IEEE International Conference on Mechatronics and Automation, ICMA 2012
Country/TerritoryChina
CityChengdu
Period5/08/128/08/12

Keywords

  • Cross-coupling control
  • Neuron network
  • Performance function
  • Tuning of parameters

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