• DocumentCode
    2171100
  • Title

    Optimal control for large scale systems-a recursive approach

  • Author

    Shen, Xuemin ; Gourishankar, V.-G. ; Xia, Qijun ; Rao, Ming

  • Author_Institution
    Dept. of Electr. Eng., Alberta Univ., Edmonton, Alta., Canada
  • fYear
    1993
  • fDate
    14-17 Sep 1993
  • Firstpage
    604
  • Abstract
    In this paper, a recursive fixed point type method is presented to obtain the “ε-coupled” subsystems. It has been shown that the recursive method is particularly useful when the coupling parameter ε is not small and/or when some desired order of accuracy is required, namely O(ε2k), where k is the number of iterations. It is proved that the convergence rate of the algorithm is O(ε2) for subsystem problems, and O(ε) for coordinator´s problem. Due to its recursive nature, this method is conceptually simple and very suitable for parallel programming. An illustrative numerical example is given to verify the proposed approach
  • Keywords
    computational complexity; convergence of numerical methods; iterative methods; large-scale systems; matrix algebra; optimal control; parallel algorithms; convergence rate; coupling parameter; iterative method; large scale systems; optimal control; recursive fixed point type method; recursive reduced order parallel algorithm; system matrix; Chemical engineering; Control systems; Convergence; Cost function; Large-scale systems; Matrix decomposition; Optimal control; Power system control; Process control; Riccati equations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 1993. Canadian Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-2416-1
  • Type

    conf

  • DOI
    10.1109/CCECE.1993.332368
  • Filename
    332368