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 journalArticlepeer-review

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
JournalUnknown Journal
Volume3
Publication statusPublished - 2000
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering

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