• DocumentCode
    1629092
  • Title

    Reduced-order models for linear systems

  • Author

    Sinha, Naresh K.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, Ont., Canada
  • fYear
    1992
  • Firstpage
    537
  • Abstract
    The author presents a brief survey of various model-reduction methods followed by some recent results on the use of reduced-order models for near-optimal control of the high-order system. Perhaps the most important application of the reduced-order model is in the design of a suitable controller for the original high-order system. Some of the simulations and computational experiments carried out for the design of controllers or compensators using reduced-order models are described. In each case, the controller was first designed and tested with the original high-order system. Next, the controller was designed for each of the reduced-order models and its performance with the original system was then evaluated for comparison
  • Keywords
    control system synthesis; identification; linear systems; control design; linear systems; model-reduction; reduced-order models; Application software; Difference equations; Eigenvalues and eigenfunctions; Frequency domain analysis; Frequency response; Linear systems; MIMO; Optimal control; Reduced order systems; System identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 1992., IEEE International Conference on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    0-7803-0720-8
  • Type

    conf

  • DOI
    10.1109/ICSMC.1992.271718
  • Filename
    271718