The role of experimental conditions in model validation for control
(1999) Workshop on Robustness in Indentification and Control — Location: SIENA(Italy) (30.July.1998)
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- Abstract
- Within a stochastic noise framework, the validation of a model yields an ellipsoidal parameter uncertainty set, from which a corresponding uncertainty set can be constructed in the space of transfer functions. We display the role of the experimental conditions used for validation on the shape of this validated set, and we connect a measure of the size of this set to the stability margin of a controller designed from the nominal model. This allows one to check stability robustness for the validated model set and to propose guidelines for validation design.
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Gevers, M., Bombois, X., Codrons, B., De Bruyne, F., & Scorletti, G. (1999). The role of experimental conditions in model validation for control. Lecture Notes in Control and Information Sciences, 245, 72-86. https://doi.org/10.1007/BFb0109861 (Original work published 1999)