• DocumentCode
    1360820
  • Title

    General transformation for block diagonalization of weakly coupled linear systems composed of N-subsystems

  • Author

    Gajic, Z. ; Borno, I.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Rutgers Univ., Piscataway, NJ, USA
  • Volume
    47
  • Issue
    6
  • fYear
    2000
  • fDate
    6/1/2000 12:00:00 AM
  • Firstpage
    909
  • Lastpage
    912
  • Abstract
    A transformation is introduced for exact decomposition (block-diagonalization) of linear weakly coupled systems composed of N subsystems. This transformation can also be used for block diagonalization of block-diagonally dominant matrices and, under certain assumptions, it can be applied for block diagonalization of nearly completely decomposable Markov chains. A twelfth-order real-world power system example is included to demonstrate the efficiency of the proposed method
  • Keywords
    Markov processes; large-scale systems; linear systems; power system control; N-subsystems; block diagonalization; exact decomposition; nearly completely decomposable Markov chains; twelfth-order real-world power system; weakly coupled linear systems; Control systems; Eigenvalues and eigenfunctions; Large-scale systems; Linear systems; Mathematics; Matrix decomposition; Power engineering and energy; Power generation economics; Power system economics; Power systems;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7122
  • Type

    jour

  • DOI
    10.1109/81.852944
  • Filename
    852944