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Model validation: a connection between robust control and identification

Smith, Roy S. and Doyle, John C. (1992) Model validation: a connection between robust control and identification. IEEE Transactions on Automatic Control, 37 (7). pp. 942-952. ISSN 0018-9286. doi:10.1109/9.148346.

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The gap between the models used in control synthesis and those obtained from identification experiments is considered by investigating the connection between uncertain models and data. The model validation problem addressed is: given experimental data and a model with both additive noise and norm-bounded perturbations, is it possible that the model could produce the observed input-output data? This problem is studied for the standard H∞/μ framework models. A necessary condition for such a model to describe an experimental datum is obtained. For a large class of models in the robust control framework, this condition is computable as the solution of a quadratic optimization problem.

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Doyle, John C.0000-0002-1828-2486
Additional Information:© 1992 IEEE. Reprinted with permission. Manuscript received January 21, 1991; revised November 21, 1991. Paper recommended by Associate Editor at Large, M. P. Polis. This work was supported by the National Aeronautics and Space Administration, The National Science Foundation, The Office of Naval Research, and by Rockwell International. The authors would like to thank M. Newlin, H. Stalford, A. Packard, K. Zhou, K. Glover, and M.A. Dahleh for many helpful discussions and reading various versions of this work.
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Office of Naval Research (ONR)UNSPECIFIED
Rockwell InternationalUNSPECIFIED
Issue or Number:7
Record Number:CaltechAUTHORS:SMIieeetac92
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:5376
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Deposited On:16 Oct 2006
Last Modified:08 Nov 2021 20:25

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