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Model Invalidation: A Connection between Robust Control and Identification

Smith, Roy S. and Doyle, John C. (1989) Model Invalidation: A Connection between Robust Control and Identification. In: 1989 American Control Conference. IEEE , Piscataway, NJ, pp. 1435-1440. http://resolver.caltech.edu/CaltechAUTHORS:20190313-075623254

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Abstract

This paper begins to address the gap between the models used in robust control theory and those obtained from identification experiments by considering the connection between uncertain models and data. The model invalidation problem considered here is: given experimental data and a model with both additive noise and norm-bounded perturbations, is it possible that the model could produce the input/output data?


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.23919/ACC.1989.4790413DOIArticle
ORCID:
AuthorORCID
Doyle, John C.0000-0002-1828-2486
Additional Information:© 1989 IEEE. The authors wish to thank Andy Packard and Kemin Zhou for many helpful discussions and Harold Stalford for his careful reading of a more complete version of this paper. Errors induced by the severe truncation are ours alone.
Record Number:CaltechAUTHORS:20190313-075623254
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20190313-075623254
Official Citation:R. S. Smith and J. C. Doyle, "Model Invalidation: A Connection between Robust Control and Identification," 1989 American Control Conference, Pittsburgh, PA, USA, 1989, pp. 1435-1440. doi: 10.23919/ACC.1989.4790413
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:93753
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:13 Mar 2019 15:58
Last Modified:13 Mar 2019 15:58

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