Published June 1989
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Model Invalidation: A Connection between Robust Control and Identification
- Creators
- Smith, Roy S.
-
Doyle, John C.
Chicago
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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?
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.Attached Files
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- CaltechAUTHORS:20190313-075623254
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