• DocumentCode
    2526377
  • Title

    Stability Analysis of Large-Scale Agent-Based Systems

  • Author

    Jamshidifar, Ali A. ; Afshar, Ahmad

  • Author_Institution
    Iranian Res. Organ. for Sci. & Technol., Amirkabir Univ. of Technol., Tehran
  • Volume
    3
  • fYear
    2006
  • fDate
    Aug. 30 2006-Sept. 1 2006
  • Firstpage
    382
  • Lastpage
    385
  • Abstract
    The problem of stability analysis of agent and agent-based systems is of great interest. This is even more important for large-scale agent-based systems (LSABS), where there are a high number of interacting agents. This paper proposes a new approach to tackle this problem. In the proposed approach, agent is assumed to be a hybrid entity with discrete modes and continuous evolution within each mode, and therefore a hybrid stability analysis is employed. At the system level, an energy concept is used for the system stability analysis. An example is given to support the proposed approach
  • Keywords
    multi-agent systems; software agents; stability; agent stability analysis; hybrid agents; large-scale agent-based systems; Convergence; Equations; Large-scale systems; Mathematical model; Multiagent systems; Power system analysis computing; Power system modeling; Predictive models; Stability analysis; Statistical analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7695-2616-0
  • Type

    conf

  • DOI
    10.1109/ICICIC.2006.526
  • Filename
    1692194