Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7005679 | Chemical Engineering Research and Design | 2018 | 33 Pages |
Abstract
The identification of a parametric model, once a suitable model structure is proposed, requires the estimation of its non-measurable parameters. Model-based design of experiment (MBDoE) methods have been proposed in the literature for maximising the collection of information whenever there is a limited amount of resources available for conducting the experiments. Conventional MBDoE methods do not take into account the structural uncertainty on the model equations and this may lead to a substantial miscalculation of the information in the experimental design stage. In this work, an extended formulation of the Fisher information matrix is proposed as a metric of information accounting for model misspecification. The properties of the extended Fisher information matrix are presented and discussed with the support of two simulated case studies.
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Authors
Marco Quaglio, Eric S. Fraga, Federico Galvanin,