• DocumentCode
    631017
  • Title

    Layers of interacting dynamic networks: Motivation and theory

  • Author

    Dhal, Rahul ; Roy, Sandip

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
  • fYear
    2013
  • fDate
    17-19 June 2013
  • Firstpage
    6339
  • Lastpage
    6344
  • Abstract
    We propose a framework for modeling two interacting network dynamics, that is promising as a representation of infrastructural dynamics modulated by underlying environmental uncertainties. Specifically, we propose using a stochastic automaton network known as the influence model to capture the evolution of discrete-valued environmental uncertainty statuses. The environmental-uncertainty process is viewed as driving a linear network model that captures an infrastructural dynamics of interest. This two-layer hybrid network model is shown to permit low-computation statistical (moment) analysis of meshed environmental and infrastructure dynamics.
  • Keywords
    dynamics; statistical analysis; stochastic systems; uncertain systems; discrete-valued environmental uncertainty status; influence model; infrastructural dynamics; interacting network dynamics; linear network model; low-computation statistical analysis; stochastic automaton network; two-layer hybrid network model; Analytical models; Atmospheric modeling; Mathematical model; Power system dynamics; Stochastic processes; Uncertainty; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2013
  • Conference_Location
    Washington, DC
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-0177-7
  • Type

    conf

  • DOI
    10.1109/ACC.2013.6580832
  • Filename
    6580832