• DocumentCode
    298986
  • Title

    Performance monitoring of control systems using likelihood methods

  • Author

    Tyler, Matthew L. ; Morari, Manfred

  • Author_Institution
    Dept. of Chem. Eng., California Inst. of Technol., Pasadena, CA, USA
  • Volume
    2
  • fYear
    1995
  • fDate
    21-23 Jun 1995
  • Firstpage
    1245
  • Abstract
    Evaluating deterioration in performance of control systems using closed loop operating data is addressed. A framework is proposed in which acceptable performance is expressed by constraints on the closed loop transfer function impulse response coefficients. Using likelihood methods, a hypothesis test is outlined to determine if control deterioration has occurred, and several threshold selection methods are enumerated
  • Keywords
    closed loop systems; control system analysis; probability; statistical analysis; transfer functions; transient response; closed loop operating data; closed loop transfer function; control systems; deterioration evaluation; hypothesis test; impulse response coefficients; likelihood methods; performance monitoring; threshold selection methods; Automatic control; Chemical engineering; Chemical technology; Closed loop systems; Control systems; Data engineering; Delay; H infinity control; Monitoring; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, Proceedings of the 1995
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-2445-5
  • Type

    conf

  • DOI
    10.1109/ACC.1995.520949
  • Filename
    520949