• DocumentCode
    2073944
  • Title

    Globally Asymptotically Stable for Exponential Type Stochastic Swarms

  • Author

    Xue, Zhibin ; Zeng, Jianchao

  • Author_Institution
    Coll. of Electr. & Inf. Eng., Lanzhou Univ. of Technol., Lanzhou, China
  • fYear
    2009
  • fDate
    26-28 Dec. 2009
  • Firstpage
    603
  • Lastpage
    607
  • Abstract
    A novel Lagrangian ¿individual-based¿ isotropic continuous time exponential type stochastic swarming model in an n-dimensional Euclidean space with a family of attraction/repulsion function is proposed in this article. The stability of aggregating behavior of the swarms system are verified by stability theoretical analysis and numerical simulation. Stability analysis and numerical simulations results further indicate that the individual members living in group during the course of coordinative motion can realize the mutual aggregating behavior, the motion of each individual member is a combination of the inter-individual interactions, meanwhile, which are also presented to demonstrate the effectiveness of our model. The attraction/repulsion function is odd, so the attractive force and repulsion force taking effect in opposite direction that leads to aggregation behavior. Moreover, numerical simulation results of globally asymptotically stability analysis also verify the capability of the proposed relevant theories.
  • Keywords
    asymptotic stability; numerical analysis; optimisation; stochastic systems; asymptotically stability; attraction function; coordinative motion; exponential globally asymptotically stable; n-dimensional Euclidean space; numerical simulations; repulsion function; stochastic swarms; Animal behavior; Biological system modeling; Chemical technology; Educational institutions; Intelligent robots; Marine animals; Numerical simulation; Particle swarm optimization; Stability analysis; Stochastic processes; Aggregation; Globally asymptotically stable; Isotropic; Stability; Stochastic swarms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ISISE), 2009 Second International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-6325-1
  • Electronic_ISBN
    978-1-4244-6326-8
  • Type

    conf

  • DOI
    10.1109/ISISE.2009.84
  • Filename
    5447335