• DocumentCode
    3203011
  • Title

    Formation tracking of fractional-order multi-agent systems based on error predictor

  • Author

    Jing Bai ; Guoguang Wen ; Rahmani, Ahmed ; Yongguang Yu

  • Author_Institution
    CRIStAL, Ecole Centrale de Lille, Villeneuve d´Ascq, France
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    279
  • Lastpage
    284
  • Abstract
    In this paper, formation tracking problem of fractional-order multi-agent systems is studied under fixed directed communication graph. Firstly, a control law based on error predictor is proposed to achieve formation tracking. Then, the effectiveness of the control law is proved by using matrix theory, graph theory and fractional-order theory. It is shown that the formation tracking can be achieved by using the proposed control law if and only if the directed communication graph among agents has a directed spanning tree. Finally, based on the numerical method, several simulations are given to illustrate the effectiveness of the obtained results.
  • Keywords
    directed graphs; matrix algebra; multi-robot systems; numerical analysis; trees (mathematics); control law; directed spanning tree; error predictor; fixed directed communication graph; formation tracking; fractional-order multiagent system; fractional-order theory; graph theory; matrix theory; numerical method; Control systems; Eigenvalues and eigenfunctions; Graph theory; Mobile robots; Multi-agent systems; Robot kinematics; Formation tracking; Fractional-order; Multi-agent systems; Reference state;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7161704
  • Filename
    7161704