• DocumentCode
    2265907
  • Title

    Driver edges analysis for network controllability

  • Author

    Shaopeng, Pang ; Fei, Hao

  • Author_Institution
    The Seventh Research Division, School of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191, China
  • fYear
    2015
  • fDate
    28-30 July 2015
  • Firstpage
    7291
  • Lastpage
    7296
  • Abstract
    Using fewer control inputs and links to drive the dynamics on complex networks toward some desired state is a basic issue in the field of network controllability. The links between control inputs and controlled objects are defined as driver edges, and the minimum links theorem is proposed to determine the minimum set of driver edges for full controllability of a complex directed network with arbitrary structures. Simulations with different influence factors of the driver edges number are performed. The results based on model and real networks show the following conclusions. The sparse and heterogeneous networks require more driver edges, while the dense and homogeneous networks can be controlled easily. The driver edges number equals almost to the number of the driver nodes. Moreover, the driver edges number is determined mainly by the networks degree distribution.
  • Keywords
    Complex networks; Controllability; Erbium; Mathematical model; Simulation; Complex Networks; Controllability; Driver Edges; Structure Shrinkage Algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2015 34th Chinese
  • Conference_Location
    Hangzhou, China
  • Type

    conf

  • DOI
    10.1109/ChiCC.2015.7260795
  • Filename
    7260795