Validation of model sets on the basis of closed-loop feedback system generated data

Geir Dullerud, Roy Smith

Research output: Contribution to conferencePaper

Abstract

Model validation provides a useful means of assessing the ability of a model to account for a specific experimental observation, and has application to modeling identification and fault detection. In the robust control context this amounts to determining whether or not there exists an element of the model set that can account for the observed experimental datum. Efficient algorithms have been developed for model validation with frequency domain, discrete-time, and sampled-data frameworks. The focus of this paper is on the application of this theory to feedback systems. We outline these algorithms and discuss how they form part of a computationally based set of integrated tools for modeling, identification, and control system design.

Original languageEnglish (US)
Pages28-33
Number of pages6
StatePublished - Dec 1 1999
EventProceedings of the 1999 IEEE International Symposium on Computer Aided Control System Design - Kohala Coat-Island, HI, USA
Duration: Aug 22 1999Aug 27 1999

Other

OtherProceedings of the 1999 IEEE International Symposium on Computer Aided Control System Design
CityKohala Coat-Island, HI, USA
Period8/22/998/27/99

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

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    Dullerud, G., & Smith, R. (1999). Validation of model sets on the basis of closed-loop feedback system generated data. 28-33. Paper presented at Proceedings of the 1999 IEEE International Symposium on Computer Aided Control System Design, Kohala Coat-Island, HI, USA, .