• DocumentCode
    2543417
  • Title

    Reliable Swarm Design

  • Author

    Kazadi, S. ; Wen, A. ; Volodarsky, M.

  • Author_Institution
    Jisan Res. Inst., Alhambra, CA, USA
  • fYear
    2009
  • fDate
    24-26 June 2009
  • Firstpage
    1301
  • Lastpage
    1306
  • Abstract
    This paper describes how phase space diagrams may be used to predict the final states and system evolution of swarms. Phase space diagrams and system evolutions through phase space are constructed for systems of multiple and single attractors. While the diagrams indicate the number of attractors, the system evolutions confirm them. A method is described for generating stochastic differential equations, which can then be used to construct phase space diagrams. This method is applied to the TSP system update equations, generating a stochastic differential equation whose dynamics provide insight into the TSP system. The use of ensemble system updates transforms systems from directed random walk systems to systems governed by stochastic differential equations. We demonstrate the use on the puck clustering and TSP problems, generating improved reliability and quick evolution of the system.
  • Keywords
    differential equations; directed graphs; evolutionary computation; multi-robot systems; phase space methods; random processes; robot dynamics; stochastic processes; travelling salesman problems; TSP system; directed random walk system; ensemble system; final state prediction; phase space diagram; puck clustering; reliable swarm design; robot dynamics; stochastic differential equation; system evolution; Automatic control; Control systems; Design automation; Differential equations; Reliability engineering; Robustness; Stochastic processes; Stochastic systems; Systems engineering and theory; Transforms; swarm control; swarm engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation, 2009. MED '09. 17th Mediterranean Conference on
  • Conference_Location
    Thessaloniki
  • Print_ISBN
    978-1-4244-4684-1
  • Electronic_ISBN
    978-1-4244-4685-8
  • Type

    conf

  • DOI
    10.1109/MED.2009.5164726
  • Filename
    5164726