• DocumentCode
    592670
  • Title

    Modified gradient control for acyclic minimally persistent formations to escape from collinear position

  • Author

    Myoung-Chul Park ; Kwang-Kyo Oh ; Hyo-Sung Ahn

  • Author_Institution
    Sch. of Mechatron., Gwangju Inst. of Sci. & Technol. (GIST), Gwangju, South Korea
  • fYear
    2012
  • fDate
    10-13 Dec. 2012
  • Firstpage
    1423
  • Lastpage
    1427
  • Abstract
    In this paper, we consider formation shape control of moving agents in the plane, which has been examined for several years. We use distance-based control approach to achieve desired formations by controlling the relative distances between agents. Although there are various control schemes in the literature to control the moving agents, gradient control shows us a quite systematic way. However, one of the main problems in the gradient control happens when the agents are in an invariant subset under the collinearity, namely the agents cannot escape from the invariant subset under the gradient control. We propose a modification of the gradient control to solve the problem faced in the preliminary literature. Using the proposed control laws, we examine the convergence of distance errors to confirm that we are able to achieve the desired formations. Simulations supporting our results are provided.
  • Keywords
    convergence of numerical methods; gradient methods; mobile robots; multi-agent systems; multi-robot systems; position control; shape control; acyclic minimally persistent formations; collinear position; control laws; distance error convergence; distance-based control; formation shape control; invariant subset; modified gradient control; moving agents; multiagent formations; relative distance control; Autonomous agents; Conferences; Convergence; Eigenvalues and eigenfunctions; Jacobian matrices; Vectors; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
  • Conference_Location
    Maui, HI
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-2065-8
  • Electronic_ISBN
    0743-1546
  • Type

    conf

  • DOI
    10.1109/CDC.2012.6427103
  • Filename
    6427103