Quaglio, M;
Fraga, E;
Galvanin, F;
(2018)
Model-based design of experiments in the presence of structural model uncertainty: an extended information matrix approach.
Chemical Engineering Research and Design
, 136
pp. 129-143.
10.1016/j.cherd.2018.04.041.
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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.
Type: | Article |
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Title: | Model-based design of experiments in the presence of structural model uncertainty: an extended information matrix approach |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1016/j.cherd.2018.04.041 |
Publisher version: | http://doi.org/10.1016/j.cherd.2018.04.041 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Model identification; Maximum likelihood; Design of experiments; Fisher information |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering |
URI: | https://discovery.ucl.ac.uk/id/eprint/10047976 |
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