• DocumentCode
    1761333
  • Title

    Cooperative source localisation of multi-agent system based on a cooperative PE condition

  • Author

    Jing-Ping Shao ; Yu-Ping Tian

  • Author_Institution
    Sch. of Autom., Southeast Univ., Nanjing, China
  • Volume
    9
  • Issue
    1
  • fYear
    2015
  • fDate
    1 2 2015
  • Firstpage
    42
  • Lastpage
    51
  • Abstract
    This study deals with cooperative source localisation with a group of agents where the source is static/dynamic. In stead of the traditionally defined persistent excitation (PE) condition, it is shown that a looser condition - cooperative PE condition - is sufficient for the source localisation provided the topology graph is connected. An estimator is designed to estimate the relative coordinate among agents; a local cooperative estimator based on cooperative PE condition is designed to estimate the relative location of the source; based on the first two steps, a consensus-based estimation fusion algorithm is given to guarantee that estimation errors asymptotically converge to 0. The cooperative localisation method is then extended to the case of a dynamic source and is analysed for the disturbance case. Finally, several simulation results are provided to show the correctness of the conclusion and the effectiveness of the proposed method.
  • Keywords
    graph theory; multi-robot systems; consensus-based estimation fusion algorithm; cooperative PE condition; cooperative localisation method; cooperative source localisation; multi-agent system; persistent excitation condition; topology graph;
  • fLanguage
    English
  • Journal_Title
    Control Theory & Applications, IET
  • Publisher
    iet
  • ISSN
    1751-8644
  • Type

    jour

  • DOI
    10.1049/iet-cta.2014.0049
  • Filename
    6987398