Quaglio, M;
Waldron, C;
Pankajakshan, A;
Cao, E;
Gavriilidis, A;
Fraga, ES;
Galvanin, F;
(2019)
On the Use of Online Reparametrization in Automated Platforms for Kinetic Model Identification.
Chemie Ingenieur Technik
, 91
(3)
pp. 268-276.
10.1002/cite.201800095.
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Abstract
Parameter estimation algorithms integrated in automated platforms for kinetic model identification are required to solve two optimization problems: i) a parameter estimation problem given the available samples; ii) a model-based design of experiments problem to select the conditions for collecting future samples. These problems may be ill-posed, leading to numerical failures when optimization routines are applied. In this work, an approach of online reparametrization is introduced to enhance the robustness of model identification algorithms towards ill-posed parameter estimation problems.
| Type: | Article |
|---|---|
| Title: | On the Use of Online Reparametrization in Automated Platforms for Kinetic Model Identification |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1002/cite.201800095 |
| Publisher version: | https://doi.org/10.1002/cite.201800095 |
| 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: | Design of experiments, Identification, Model, Robust parametrization |
| 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/10068390 |
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