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A framework for adaptive online model-based redesign of experiments in dynamic systems

Pankajakshan, A; Petsagkourakis, P; Galvanin, F; (2021) A framework for adaptive online model-based redesign of experiments in dynamic systems. Computer Aided Chemical Engineering , 50 pp. 1293-1298. 10.1016/B978-0-323-88506-5.50199-6.

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Abstract

Online model-based redesign of experiments (OMBRE) methods are advanced methods to optimize input controls and sampling times to attain data with the highest information for precisely estimating the parameters of a dynamic process model. The way OMBRE methods are implemented is to first design a dynamic experiment, but only implement it over a fixed time interval, then perform parameter estimation with data collected in that interval to update the process model as the process is running and, finally, optimizing the experiment repeatedly until the experiment is concluded. In this work, we propose an adaptive version of OMBRE (A-OMBRE) where an algorithm determines when to re-optimize/update the current experiment based on parameter estimation results. The proposed method does not require any user input regarding the updating policy, instead it uses the real time parametric uncertainty to determine the updating times. The method is tested on a simulated case study of fermentation kinetics and is compared with i) a conventional offline design; ii) an OMBRE approach with user-defined redesign strategy.

Type: Article
Title: A framework for adaptive online model-based redesign of experiments in dynamic systems
DOI: 10.1016/B978-0-323-88506-5.50199-6
Publisher version: https://doi.org/10.1016/B978-0-323-88506-5.50199-6
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: model-based redesign of experiments, adaptive design, collocation
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/10130149
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