• DocumentCode
    630509
  • Title

    Decentralized linear state observers for vehicle formations with time-varying topologies

  • Author

    Viegas, Diana ; Batista, Pedro ; Oliveira, P. ; Silvestre, Carlos

  • Author_Institution
    Inst. for Syst. & Robot., Inst. Super. Tecnico, Lisbon, Portugal
  • fYear
    2013
  • fDate
    17-19 June 2013
  • Firstpage
    65
  • Lastpage
    70
  • Abstract
    This paper addresses the problem of decentralized state estimation in formations of vehicles with time-varying topologies. The proposed solution relies on the implementation of a local state observer on-board each vehicle, based only on local sensing capabilities and limited communication with neighboring vehicles, to estimate its state. The effects of changes in the formation topology over time are studied resorting to switched systems theory, and sufficient conditions for exponential stability of the global estimation error dynamics are presented for two different switching laws. The results are particularized for the case of a formation of Autonomous Underwater Vehicles (AUVs), and simulation results are presented to assess the performance of the proposed solution in the presence of measurement noise.
  • Keywords
    asymptotic stability; autonomous underwater vehicles; decentralised control; estimation theory; linear systems; noise measurement; observers; position control; time-varying systems; topology; AUV; autonomous underwater vehicles; decentralized linear state observers; decentralized state estimation; exponential stability; formation topology; global estimation error dynamics; local sensing capabilities; local state observer; measurement noise; switched systems theory; switching laws; time-varying topologies; vehicle formation; Gain measurement; Loss measurement; Observers; Switches; Topology; Vehicle dynamics; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2013
  • Conference_Location
    Washington, DC
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-0177-7
  • Type

    conf

  • DOI
    10.1109/ACC.2013.6579815
  • Filename
    6579815