Application of multiple fuzzy-neuro force controllers in an unknown environment using genetic algorithms

Kazuo Kiguchi, Keigo Watanabe, Kiyotaka Izumi, Toshio Fukuda

Research output: Contribution to journalConference article

5 Citations (Scopus)

Abstract

This paper presents an effective force control method in which multiple fuzzy-neuro force controllers are suitably combined with a proper rate in accordance with the unknown dynamics of an environment automatically. The optimal combination rate of the fuzzy-neuro force controllers according to the environment dynamics is defined online by a neural network which is off-line trained with genetic algorithms. The effectiveness of the proposed method has been evaluated by computer simulation.

Original languageEnglish
Pages (from-to)2106-2111
Number of pages6
JournalProceedings - IEEE International Conference on Robotics and Automation
Volume3
Publication statusPublished - Dec 3 2000
Externally publishedYes
EventICRA 2000: IEEE International Conference on Robotics and Automation - San Francisco, CA, USA
Duration: Apr 24 2000Apr 28 2000

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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