Description

Recent works revealed that the energy required to control a complex network depends on the number of driving signals and the energy distribution follows an algebraic scaling law. If one

Recent works revealed that the energy required to control a complex network depends on the number of driving signals and the energy distribution follows an algebraic scaling law. If one implements control using a small number of drivers, e.g. as determined by the structural controllability theory, there is a high probability that the energy will diverge. We develop a physical theory to explain the scaling behaviour through identification of the fundamental structural elements, the longest control chains (LCCs), that dominate the control energy.

Reuse Permissions
  • application/pdf

    Download count: 0

    Details

    Contributors
    Date Created
    • 2016-04-20
    Resource Type
  • Text
  • Collections this item is in
    Identifier
    • Digital object identifier: 10.1098/rsos.160064
    • Identifier Type
      International standard serial number
      Identifier Value
      2054-5703
    Note

    Citation and reuse

    Cite this item

    This is a suggested citation. Consult the appropriate style guide for specific citation guidelines.

    Chen, Y., Wang, L., Wang, W., & Lai, Y. (2016). Energy scaling and reduction in controlling complex networks. Royal Society Open Science, 3(4), 160064. doi:10.1098/rsos.160064

    Machine-readable links