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Towards a Methodology for Robust Parameter Identification

Smith, Roy S. and Doyle, John C. (1990) Towards a Methodology for Robust Parameter Identification. In: 1990 American Control Conference. IEEE , Piscataway, NJ, pp. 2394-2399. https://resolver.caltech.edu/CaltechAUTHORS:20190313-083856627

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Abstract

The paper considers the problem of estimating, from experimental data, real parameters for a model with uncertainty in the form of both additive noise and norm bounded perturbations. Such models frequently arise in robust control theory, and a framework is introduced for the consideration of experimental data in robust control analysis problems. If the analysis tools applied include robust stability tests for real parameter variations (real μ), then the framework can be used to address the problem of "robust" parameter identification. While the techniques discussed here can quickly become computationally overwhelming when applied to physical systems and real data, the approach introduces a new way of looking at the identification problem and may be helpful in arriving at a more tractable methodology.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.23919/ACC.1990.4791156DOIArticle
ORCID:
AuthorORCID
Doyle, John C.0000-0002-1828-2486
Additional Information:© 1990 IEEE. The authors would like to thank Andy Packard, Gary Balas, and Peter Yong for their helpful comments. Thanks also to M.
Record Number:CaltechAUTHORS:20190313-083856627
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20190313-083856627
Official Citation:R. S. Smith and J. C. Doyle, "Towards a Methodology for Robust Parameter Identification," 1990 American Control Conference, San Diego, CA, USA, 1990, pp. 2394-2399. doi: 10.23919/ACC.1990.4791156
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:93756
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:13 Mar 2019 15:54
Last Modified:03 Oct 2019 20:57

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