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On the Use of Online Reparametrization in Automated Platforms for Kinetic Model Identification

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 10.1002/cite.201800095. (In press).

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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
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 > Provost and Vice Provost Offices
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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