• DocumentCode
    1151692
  • Title

    Analysis of Pinning-Controlled Networks: A Renormalization Approach

  • Author

    Xiang, Ji ; Chen, Guanrong

  • Author_Institution
    Dept. of Syst. Sci. & Eng., Zhejiang Univ., Hangzhou, China
  • Volume
    54
  • Issue
    8
  • fYear
    2009
  • Firstpage
    1869
  • Lastpage
    1875
  • Abstract
    In this paper, a renormalization approach is introduced for analyzing pinning-controlled networks. The renormalization process consists of two operations, edge weighting and node reduction, and is built on a new concept of passivity comparison in the sense of Lyapunov V-stability. Furthermore, a cascaded model resulted from the renormalization process in a layer structure is presented for estimating the V -stability of a network. Finally, simulation studies are presented for illustration and verification of the theoretical results.
  • Keywords
    Lyapunov methods; renormalisation; stability; Lyapunov V-stability; edge weighting; node reduction; pinning controlled network analysis; renormalization approach; Biological neural networks; Biology; Collaboration; Complex networks; Humans; IP networks; Large-scale systems; Physics; Transportation; Web sites; Complex network; Lyapunov $V$-stability; layer; passivity; pinning control; renormalization;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2009.2020668
  • Filename
    5175311