• DocumentCode
    2819840
  • Title

    Practical Stability Analysis 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
    11-13 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • 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 practical stability theoretical analysis and numerical simulation. Practical 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.
  • Keywords
    continuous time systems; geometry; multi-agent systems; numerical analysis; stability; stochastic systems; Lagrangian individual-based isotropic continuous time model; attractive force; exponential type stochastic swarms; inter-individual interactions; n-dimensional Euclidean space; numerical simulation; practical stability analysis; repulsion force; Animal behavior; Biological system modeling; Chemical technology; Educational institutions; Marine animals; Numerical simulation; Particle swarm optimization; Robot kinematics; Stability analysis; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4507-3
  • Electronic_ISBN
    978-1-4244-4507-3
  • Type

    conf

  • DOI
    10.1109/CISE.2009.5363507
  • Filename
    5363507