• DocumentCode
    619798
  • Title

    Necessary and sufficient conditions for solving leader-following problem of multi-agent systems with communication noises

  • Author

    Yunpeng Wang ; Long Cheng ; Zeng-Guang Hou ; Min Tan ; Huiyang Liu ; Min Wang

  • Author_Institution
    State Key Lab. of Manage. & Control for Complex Syst. (SKLMCCS), Inst. of Autom., Beijing, China
  • fYear
    2013
  • fDate
    25-27 May 2013
  • Firstpage
    778
  • Lastpage
    783
  • Abstract
    The leader-following problem of first-order integral multi-agent systems with communication noises is investigated in this paper. To attenuate the noise´s effect, a positive time-varying gain a(t) is employed in the protocol. It is proved that the proposed protocol can solve the mean square leader-following problem if the following conditions hold: 1) the communication topology graph has a spanning tree; 2) ∫0 a(t)dt = ∞; 3) limt→∞ a(t) = 0. The requirements on a(t) are different from most existing papers, where a(t) is required to satisfy that ∫0 a(t)dt = ∞ and ∫0 a2(t)dt <; ∞. It turns out that ∫0 a2(t)dt <; ∞ implies limt→∞ a(t) = 0, if a(t) is uniformly continuous. Therefore this paper relaxes the requirements on a(t) to some extent. In addition, under the mild condition (a(t) is uniformly continuous) these three conditions are necessary as well. Furthermore, if ∫0 a2(t)dt <; ∞, the employed protocol is proved to be able to solve the almost sure leader-following problem of first-order integral multi-agent system. Finally, a simulation example is provided to verify the effectiveness of the employed protocols.
  • Keywords
    integral equations; mobile robots; multi-agent systems; multi-robot systems; topology; trees (mathematics); communication noises; communication topology graph; first-order integral multiagent systems; mean square leader-following problem; noise effect; positive time-varying gain; spanning tree; Eigenvalues and eigenfunctions; Lead; Multi-agent systems; Noise; Noise measurement; Protocols; Topology; Communication noise; Consensus; Leader-following; Multi-agent system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2013 25th Chinese
  • Conference_Location
    Guiyang
  • Print_ISBN
    978-1-4673-5533-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2013.6561027
  • Filename
    6561027