• DocumentCode
    2386970
  • Title

    Decentralized estimation and control of graph connectivity in mobile sensor networks

  • Author

    Yang, Peng ; Freeman, Randy A. ; Gordon, Geoffrey J. ; Lynch, Kevin M. ; Srinivasa, Siddhartha S. ; Sukthankar, Rahul

  • Author_Institution
    Dept. of Mech. Eng., Northwestern Univ., Evanston, IL
  • fYear
    2008
  • fDate
    11-13 June 2008
  • Firstpage
    2678
  • Lastpage
    2683
  • Abstract
    The ability of a robot team to reconfigure itself is useful in many applications: for metamorphic robots to change shape, for swarm motion towards a goal, for biological systems to avoid predators, or for mobile buoys to clean up oil spills. In many situations, auxiliary constraints, such as connectivity between team members and limits on the maximum hop-count, must be satisfied during reconfiguration. In this paper, we show that both the estimation and control of the graph connectivity can be accomplished in a decentralized manner. We describe a decentralized estimation procedure that allows each agent to track the algebraic connectivity of a time-varying graph. Based on this estimator, we further propose a decentralized gradient controller for each agent to maintain global connectivity during motion.
  • Keywords
    continuous time systems; decentralised control; eigenvalues and eigenfunctions; graph theory; iterative methods; matrix algebra; mobile robots; wireless sensor networks; decentralized continuous-time power iteration algorithm; decentralized estimation algorithm; decentralized gradient controller; eigenvector; mobile robots; mobile sensor networks; time-varying graph algebraic connectivity; weighted Laplacian matrix; Biological control systems; Biosensors; Communication system control; Control systems; Laplace equations; Mobile robots; Motion control; Motion estimation; Robot sensing systems; Shape control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2008
  • Conference_Location
    Seattle, WA
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-2078-0
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2008.4586897
  • Filename
    4586897