Dynamics of multi-agent systems by RasID learning

Hironobu Katagiri, Kotaro Hirasawa, Jinglu Hu

Research output: Contribution to journalConference article

Abstract

A new model and learning method for controlling multi-agent systems that are composed of plural agents are presented. Since it is not possible to use the gradient method, the RasID learning method is employed. Simulation results show that the above model and method are effective for controlling the dynamics of the multi-agent systems because desired dynamics can be easily obtained by training fuzzy parameters.

Original languageEnglish
Pages (from-to)III-233 - III-238
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume3
Publication statusPublished - 1999 Dec 1
Externally publishedYes
Event1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics' - Tokyo, Jpn
Duration: 1999 Oct 121999 Oct 15

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Hardware and Architecture

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