eprintid: 10051033 rev_number: 32 eprint_status: archive userid: 608 dir: disk0/10/05/10/33 datestamp: 2018-06-26 11:09:53 lastmod: 2021-09-21 22:06:29 status_changed: 2018-06-26 11:09:53 type: proceedings_section metadata_visibility: show creators_name: Pankajakshan, A creators_name: Quaglio, M creators_name: Waldron, C creators_name: Cao, E creators_name: Gavriilidis, A creators_name: Galvanin, F title: Online model-based redesign of experiments for improving parameter precision in continuous flow reactors ispublished: pub divisions: UCL divisions: B04 divisions: C05 divisions: F43 keywords: Online model-based redesign of experiments, Continuous flow reactors, identification of reaction kinetics note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. abstract: Online model-based redesign of experiments (OMBRE) techniques reduce the experimental effort substantially for achieving high model reliability along with the precise estimation of model parameters. In dynamic systems, OMBRE techniques allow redesigning an experiment while it is still running and information gathered from samples collected at multiple time points is used to update the experimental conditions before the completion of the experiment. For processes evolving through a sequence of steady state experiments, significant time delays may exist when collecting new information from each single run, because measurements can be available only after steady state conditions are reached. In this work an online model-based optimal redesign technique is employed in continuous flow reactors for improving the accuracy of estimation of kinetic parameters with great benefit in terms of time and analytical resources during the model identification task. The proposed approach is applied to a simulated case study and compared with the conventional sequential model-based design of experiments (MBDoE) techniques as well as the offline optimal redesign of experiments. date: 2018 date_type: published publisher: Elsevier official_url: https://doi.org/10.1016/j.ifacol.2018.09.171 oa_status: green full_text_type: other language: eng primo: open primo_central: open_green verified: verified_manual elements_id: 1563705 doi: 10.1016/j.ifacol.2018.09.171 lyricists_name: Cao, Enhong lyricists_name: Galvanin, Federico lyricists_name: Gavriilidis, Asterios lyricists_name: Pankajakshan, Arun lyricists_name: Quaglio, Marco lyricists_name: Waldron, Conor lyricists_id: ECAOX57 lyricists_id: FGALV19 lyricists_id: AGAVR68 lyricists_id: APXXX40 lyricists_id: MQUAG43 lyricists_id: CWALD07 actors_name: Flynn, Bernadette actors_id: BFFLY94 actors_role: owner full_text_status: public series: IFAC Symposium on System Identification publication: IFAC-PapersOnLine volume: 18 place_of_pub: Stockholm, Sweden pagerange: 359-364 event_title: 18th IFAC Symposium on System Identification (SYSID 2018) event_location: Stockholm event_dates: 09 July 2018 - 11 July 2018 institution: SYSID 2018 issn: 2405-8963 book_title: IFAC-PapersOnLine citation: Pankajakshan, A; Quaglio, M; Waldron, C; Cao, E; Gavriilidis, A; Galvanin, F; (2018) Online model-based redesign of experiments for improving parameter precision in continuous flow reactors. In: IFAC-PapersOnLine. (pp. pp. 359-364). Elsevier: Stockholm, Sweden. Green open access document_url: https://discovery.ucl.ac.uk/id/eprint/10051033/1/ArunetalSYSIDfinalsubmitted.pdf