• DocumentCode
    486309
  • Title

    Rescaling State and Input Variables for the Purpose of Analyzing Process Models

  • Author

    Bonvin, Dominique ; Mellichamp, Duncan A.

  • Author_Institution
    Technisch-Chemisches Labor, ETH Zÿrich, 8092 Zÿrich, Switzerland
  • fYear
    1985
  • fDate
    19-21 June 1985
  • Firstpage
    626
  • Lastpage
    631
  • Abstract
    Many techniques which are used for analyzing the structure of large-scale, interactive systems (including structural dominance analysis and the singular value decomposition method) require a careful scaling of input and state variables to yield useful results. A suitable scaling procedure motivated by physical arguments is presented and illustrated through several examples, including linear and nonlinear as well as lumped and distributed parameter models.
  • Keywords
    Input variables; Interactive systems; Large-scale systems; Nonlinear dynamical systems; Optimal control; Parameter estimation; Robust control; Singular value decomposition; Size control; Steady-state;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1985
  • Conference_Location
    Boston, MA, USA
  • Type

    conf

  • Filename
    4788692
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=486309