Note: This content is accessible to all versions of every browser. However, this browser does not seem to support current Web standards, preventing the display of our site's design details.

  

Performance monitoring of control systems using likelihood methods

Author(s):

M. Tyler, M. Morari
Conference/Journal:

Automatica, vol. 32, no. 8, pp. 1145-1162
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 as 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. The method is applied to a simulation example as well as data from an operational distillation column, and the results are compared to those obtained using minimum variance estimation approaches.

Year:

1996
Type of Publication:

(01)Article
Supervisor:



File Download:

Request a copy of this publication.
(Uses JavaScript)
% Autogenerated BibTeX entry
@Article { TylMor:1996:IFA_2233,
    author={M. Tyler and M. Morari},
    title={{Performance monitoring of control systems using likelihood
	  methods}},
    journal={Automatica},
    year={1996},
    volume={32},
    number={8},
    pages={1145--1162},
    url={http://control.ee.ethz.ch/index.cgi?page=publications;action=details;id=2233}
}
Permanent link