• DocumentCode
    2851400
  • Title

    Distance-based formation control using euclidean distance dynamics matrix: Three-agent case

  • Author

    Kwang-Kyo Oh ; Hyo-Sung Ahn

  • Author_Institution
    Sch. of Mechatron., Gwangju Inst. of Sci. & Technol. (GIST), Gwangju, South Korea
  • fYear
    2011
  • fDate
    June 29 2011-July 1 2011
  • Firstpage
    4810
  • Lastpage
    4815
  • Abstract
    In this paper, we propose a triangular formation control law based on inter-agent distance information for a group of three single-integrator modeled agents on the plane. Although most of existing distance-based formation control laws have been designed by using the gradient of artificial potential functions, the proposed control law is derived from the time derivative of the Euclidean distance matrix associated with the realization of the agent group. Consequently, if the initial and desired formations are not collinear and the information graph of the group is complete, then the desired formation of the group is globally asymptotically stable with all squared inter-agent distance errors exponentially converging to zero. Furthermore, the proposed control law has a coordination property in the sense that the dynamics of all inter-agent distances are fully decoupled. Simulation results support the effectiveness of the proposed control law, demonstrating the coordination property.
  • Keywords
    asymptotic stability; differentiation; matrix algebra; mobile robots; position control; Euclidean distance dynamics matrix; artificial potential function gradient; coordination property; distance-based formation control; exponentially convergence; globally asymptotic stability; information graph; inter-agent distance information; single-integrator modeled agent; time derivative; triangular formation control; Asymptotic stability; Equations; Euclidean distance; Recurrent neural networks; Simulation; Stability analysis; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2011
  • Conference_Location
    San Francisco, CA
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4577-0080-4
  • Type

    conf

  • DOI
    10.1109/ACC.2011.5991056
  • Filename
    5991056