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Online Optimal Experiment Design: Reduction of the Number of Variables

  • In this work, a method for reducing the number of degrees of freedom in online optimal dynamic experiment design problems for systems described by differential equations is proposed. The online problems are posed such that only the inputs which extend an operation policy resulting from an experiment designed offline are optimized. This is done by formulating them as multiple experiment designs, considering explicitly the information of the experiment designed offline and possible time delays unknown a priori. The performance of the method is shown for the case of the separation of isopropanolol isomers in a Simulated Moving Bed plant.

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Metadaten
Author:Roberto Lemoine-Nava, Sebastian F. Walter, Stefan KörkelGND, Sebastian Engell
DOI:https://doi.org/10.1016/j.ifacol.2016.07.302
Parent Title (English):IFAC-PapersOnLine
Publisher:Elsevier
Document Type:Article
Language:English
Year of first Publication:2016
Release Date:2022/11/30
Tag:Chromatography; Decomposition methods; Large scale systems; Optimal experiment design; Partial differential equations; Simulated Moving Bed process; Time delay
Volume:49
Issue:7
First Page:889
Last Page:894
Institutes:Fakultät Informatik und Mathematik
Publication:Externe Publikationen
research focus:Digitalisierung
Licence (German):Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG
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