• DocumentCode
    66845
  • Title

    Forming Circle Formations of Anonymous Mobile Agents With Order Preservation

  • Author

    Chen Wang ; Guangming Xie ; Ming Cao

  • Author_Institution
    State Key Lab. for Turbulence & Complex Syst., Peking Univ., Beijing, China
  • Volume
    58
  • Issue
    12
  • fYear
    2013
  • fDate
    Dec. 2013
  • Firstpage
    3248
  • Lastpage
    3254
  • Abstract
    We propose distributed control laws for a group of anonymous mobile agents to form desired circle formations when the agents move in the one-dimensional space of a circle. The agents are modeled by kinematic points. They share the common knowledge of the orientation of the circle, but are oblivious and anonymous. Moreover, each agent can only sense the relative positions of its neighboring two agents that are immediately in front of or behind itself. Distributed control strategies are designed for the agents using only the information of the relative positions of their two neighbors and also the given desired distances to its neighboring two agents. To make the control strategies more practical, we discuss the corresponding sampled-data control laws, and utilizing the technique of adopting time-varying gains, we obtain control laws that are able to guide the agents to form the desired circle formation within any given finite time. One feature of the proposed control laws is that they guarantee that the spatial ordering of the agents are preserved throughout the system´s evolution, and thus no collision may take place during the process of forming circle formations. Both theoretical analysis and numerical simulations are given to show the effectiveness of the proposed formation control strategies.
  • Keywords
    control system synthesis; distributed control; mobile agents; mobile robots; numerical analysis; sampled data systems; time-varying systems; anonymous mobile agents; circle formation control strategies; distributed control law; distributed control strategy design; kinematic points; knowledge sharing; numerical simulation; one-dimensional space; sampled-data control laws; spatial ordering; system evolution; time-varying gain; Convergence; Decentralized control; Eigenvalues and eigenfunctions; Mobile agents; Robots; Vectors; Circle formation; distributed control; finite-time convergence; multi-agent system; order preservation; sampled-data control;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2013.2263653
  • Filename
    6517269