• DocumentCode
    3161756
  • Title

    Hierarchical structure and multi time-scale in large scale dynamical systems

  • Author

    Tojo, Koichi ; Tsumura, Koji

  • Author_Institution
    Dept. of Inf. Phys. & Comput., Univ. of Tokyo, Tokyo
  • fYear
    2008
  • fDate
    20-22 Aug. 2008
  • Firstpage
    3125
  • Lastpage
    3130
  • Abstract
    In this paper, we deal with approximation methods of large-scale systems which describe the macroscopic behavior of the whole system and simultaneously the partially microscopic one of the objective subsystems. We propose a hierarchical representation of such large-scale systems by employing the connection graph structure of the elements and multiple time-scale dynamics. The approximation accuracy is rigorously induced and numerical simulation is also demonstrated to show the efficiency.
  • Keywords
    approximation theory; hierarchical systems; large-scale systems; approximation methods; hierarchical representation; hierarchical structure; large scale dynamical systems; multi time-scale structure; Approximation methods; Computational modeling; Large-scale systems; Microscopy; Nonlinear systems; Numerical simulation; Perturbation methods; Physics; Power engineering computing; Singular value decomposition; graph decomposition; hierarchical representation; large-scale system; multiple time-scale dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE Annual Conference, 2008
  • Conference_Location
    Tokyo
  • Print_ISBN
    978-4-907764-30-2
  • Electronic_ISBN
    978-4-907764-29-6
  • Type

    conf

  • DOI
    10.1109/SICE.2008.4655202
  • Filename
    4655202