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Experimentally Driven Guaranteed Parameter Estimation: a Way to Speed up Model-Based Design of Experiments Techniques

Pankajakshan, A; Quaglio, M; Galvanin, F; (2018) Experimentally Driven Guaranteed Parameter Estimation: a Way to Speed up Model-Based Design of Experiments Techniques. In: Friedl, A and Klemeš, JJ and Radl, S and Varbanov, PS and Wallek, T, (eds.) Proceedings of the 28th European Symposium on Computer Aided Process Engineering. (pp. pp. 355-360). Elsevier: Graz, Austria. (In press).

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Abstract

Parameter estimation in modelling reaction kinetics is affected by the prior knowledge on the domain of variability of model parameters which can be very limited at the beginning of model building activities. In conventional parameter estimation approaches a reasonably wide domain of variability for kinetic parameters is initially assumed, but this uncertainty on domain definition might deeply affect the efficiency of model-based experimental design techniques for model validation. In this work, we propose the use of binary classification techniques to define a feasible parametric region of parameter variability satisfying a set of user-defined model-based constraints. The proposed approach is illustrated in a case study of consecutive reactions in a plug flow reactor.

Type: Proceedings paper
Title: Experimentally Driven Guaranteed Parameter Estimation: a Way to Speed up Model-Based Design of Experiments Techniques
Event: 28th European Symposium on Computer Aided Process Engineering
Location: Graz
Dates: 10 June 2018 - 13 June 2018
DOI: 10.1016/B978-0-444-64235-6.50065-6
Publisher version: https://doi.org/10.1016/B978-0-444-64235-6.50065-6
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: Support vector machine, guaranteed parameter estimation, model-based design of experiments
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: http://discovery.ucl.ac.uk/id/eprint/10050144
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