• DocumentCode
    1513636
  • Title

    An Exact Method for the Stability Analysis of Linear Consensus Protocols With Time Delay

  • Author

    Cepeda-Gomez, Rudy ; Olgac, Nejat

  • Author_Institution
    Mech. Eng. Dept., Univ. of Connecticut, Storrs, CT, USA
  • Volume
    56
  • Issue
    7
  • fYear
    2011
  • fDate
    7/1/2011 12:00:00 AM
  • Firstpage
    1734
  • Lastpage
    1740
  • Abstract
    This technical note presents a methodology for the stability analysis of linear consensus protocols with time-delayed communications. Second order agent dynamics with a fixed and undirected communication topology and uniform delays are considered. This class of group dynamics is very complex and is not fully explored to date. The proposed technique takes advantage of the general structure of the control protocols in performing a state transformation that allows a decomposition of the characteristic equation into a set of factors. These factors distribute the imprint of the delay in the characteristic equation in a much simpler form to achieve the stability analysis in parts. The procedure also prepares the characteristic equation for the deployment of the Cluster Treatment of Characteristic Roots paradigm, a recent method which declares the stability features of the system for various compositions of the time delay and other control parameters. In order to show the effectiveness of this approach, it is applied to different consensus protocols under the assumptions of fixed and undirected communication topologies and uniform communication time delays.
  • Keywords
    control engineering computing; delays; pattern clustering; protocols; stability; telecommunication control; telecommunication network topology; characteristic roots paradigm; cluster treatment; fixed communication topology; group dynamics; linear consensus protocols; second order agent dynamics; stability analysis; state transformation; time-delayed communications; undirected communication topology; uniform delays; Delay; Delay effects; Eigenvalues and eigenfunctions; Equations; Protocols; Stability analysis; Topology; Cluster treatment of characteristic roots (CTCR); Consensus; multiagent systems;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2011.2152510
  • Filename
    5765659