De-Luca, R;
Galvanin, F;
Bezzo, F;
(2016)
A methodology for direct exploitation of available information in the online model-based redesign of experiments.
Computers & Chemical Engineering
, 91
pp. 195-205.
10.1016/j.compchemeng.2016.03.016.
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Abstract
Online model-based design of experiments techniques were proposed to exploit the progressive increase of the information resulting from the running experiment, but they currently exhibit some limitations: the redesign time points are chosen “a-priori” and the first design may be heavily affected by the initial parametric mismatch. In order to face such issues an information driven redesign optimisation (IDRO) strategy is here proposed: a robust approach is adopted and a new design criterion based on the maximisation of a target profile of dynamic information is introduced. The methodology allows determining when to redesign the experiment in an automatic way, thus guaranteeing that an acceptable increase in the information content has been achieved before proceeding with the intermediate estimation of the parameters and the subsequent redesign of the experiment. The effectiveness of the new experiment design technique is demonstrated through two simulated case studies.
Type: | Article |
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Title: | A methodology for direct exploitation of available information in the online model-based redesign of experiments |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1016/j.compchemeng.2016.03.016 |
Publisher version: | http://dx.doi.org/10.1016/j.compchemeng.2016.03.01... |
Language: | English |
Additional information: | © 2016 Elsevier Inc. This manuscript version is made available under a Creative Commons Attribution Non-commercial Non-derivative 4.0 International license (CC BY-NC-ND 4.0). This license allows you to share, copy, distribute and transmit the work for personal and non-commercial use providing author and publisher attribution is clearly stated. Further details about CC BY licenses are available at http://creativecommons.org/ licenses/by/4.0. Access may be initially restricted by the publisher. |
Keywords: | Online model-based design of experiments; Robust design; Model identification; Parameter estimation |
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/1482108 |




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