eprintid: 1482108
rev_number: 42
eprint_status: archive
userid: 608
dir: disk0/01/48/21/08
datestamp: 2016-04-21 16:24:29
lastmod: 2021-09-17 22:55:43
status_changed: 2016-10-05 13:22:49
type: article
metadata_visibility: show
creators_name: De-Luca, R
creators_name: Galvanin, F
creators_name: Bezzo, F
title: A methodology for direct exploitation of available information in the online model-based redesign of experiments
ispublished: pub
divisions: UCL
divisions: B04
divisions: C05
divisions: F43
keywords: Online model-based design of experiments; Robust design; Model identification; Parameter estimation
note: © 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.
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.
date: 2016-08-04
date_type: published
official_url: http://dx.doi.org/10.1016/j.compchemeng.2016.03.016
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1124145
doi: 10.1016/j.compchemeng.2016.03.016
language_elements: English
lyricists_name: Galvanin, Federico
lyricists_id: FGALV19
actors_name: Galvanin, Federico
actors_id: FGALV19
actors_role: owner
full_text_status: public
publication: Computers & Chemical Engineering
volume: 91
pagerange: 195-205
issn: 0098-1354
citation:        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 <https://doi.org/10.1016/j.compchemeng.2016.03.016>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/1482108/7/Galvanin_DeLuca_etal_revised_2.pdf