• DocumentCode
    2433183
  • Title

    The Application of Fuzzy Neural Networks in Formation Control for Multi-Robot System

  • Author

    Lei, Yanmin ; Zhu, Qidan ; Leng, Xin ; Feng, Zhibin ; Song, Jihong

  • Author_Institution
    Coll. of Autom., Harbin Eng. Univ., Harbin
  • Volume
    1
  • fYear
    2008
  • fDate
    19-20 Dec. 2008
  • Firstpage
    69
  • Lastpage
    73
  • Abstract
    The formation problem of multi-robot is a type problem in cooperation and it is one of challenging research directions of multi-robot system. Aiming at the formation control problem, in this paper we propose a kind of hybrid architecture firstly, which combines the reactive architecture based on Motor Schema with the hierarchical architecture. Secondly we design four kinds of basic behaviors based on the reactive architecture, and design each of behaviors using fuzzy neural networks. Lastly we use nerve cell fuse the outputs of each of behaviors qua the final outputs of system, which controls executive appliance to act. This method put forward enhances intelligence and the environmental applicability in this paper. The simulation results validate the feasibility of this method.
  • Keywords
    fuzzy neural nets; hierarchical systems; multi-robot systems; formation control; fuzzy neural networks; hierarchical architecture; motor schema; multirobot system; reactive architecture; Computational modeling; Control systems; Deformable models; Fabrics; Fuzzy control; Fuzzy neural networks; Genetic algorithms; Industrial electronics; Iterative algorithms; Multirobot systems; Architecture; Formation control; Fuzzy neural networks; nerve cell;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3490-9
  • Type

    conf

  • DOI
    10.1109/PACIIA.2008.255
  • Filename
    4756526