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. https://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 | ||||||
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| 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. | ||||||
| DOI: | 10.23919/ACC.1989.4790413 | ||||||
| Record Number: | CaltechAUTHORS:20190313-075623254 | ||||||
| Persistent URL: | https://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: | 16 Nov 2021 17:00 |
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