• DocumentCode
    488200
  • Title

    Statistical Analysis Methodology for Controller Robustness

  • Author

    Schaper, Charles D. ; Seborg, Dale E. ; Mellichamp, Duncan A.

  • Author_Institution
    Department of Chemical and Nuclear Engineering, University of California, Santa Barbara 93106
  • fYear
    1990
  • fDate
    23-25 May 1990
  • Firstpage
    587
  • Lastpage
    592
  • Abstract
    A new statistical methodology is proposed to analyze feedback controllers for certain time domain robustness properties. This analysis technique uses bounds on the covariance matrix of the inputs, outputs, and state variables. An example for the robust control of a nonlinear chemical reactor is presented to demonstrate the advantages of the new analysis techniques.
  • Keywords
    Adaptive control; Chemical analysis; Control system analysis; Control systems; Covariance matrix; Performance analysis; Robust control; Statistical analysis; Time domain analysis; White noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1990
  • Conference_Location
    San Diego, CA, USA
  • Type

    conf

  • Filename
    4790801