• DocumentCode
    485863
  • Title

    Decomposition of Large Scale Systems - A Numerical Approach

  • Author

    Hsu, Chin Shung

  • Author_Institution
    Department of Electrical Engineering, Washington State University, Pullman, WA 99164-2210
  • fYear
    1983
  • fDate
    22-24 June 1983
  • Firstpage
    715
  • Lastpage
    718
  • Abstract
    In the study of Large Scale Systems (LSS), one of the major concerns is the development of decomposition techniques. Decomposition of a large scale system into interconnection of lower-dimensional subsystems is instrumental to the analysis, estimation and control of LSS. While various decomposition methods have been developed in the past research, the computational aspects of the associated numerical algorithms are not yet fully explored. In this paper efficient and numerically reliable algorithms are proposed to decompose large scale systems with special emphasis upon the derivation of reduced order models. Decomposition and order reduction of the nearly singular and the time-scale separable systems are investigated by means of balancing transformations which can be computed via numerically reliable algorithms.
  • Keywords
    Computational complexity; Control system analysis; Control systems; Electric variables control; Equations; Large-scale systems; Matrix converters; Matrix decomposition; Reduced order systems; State estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1983
  • Conference_Location
    San Francisco, CA, USA
  • Type

    conf

  • Filename
    4788205