From Optimal Design of Experiment to Safe System Identification in Type 2 Diabetes

Sarah Ellinor Engell; Henrik Bengtsson; Jeppe Sturis; Dimitri Boiroux; John Bagterp Jørgensen

doi:10.1016/j.ifacol.2023.10.273

From Optimal Design of Experiment to Safe System Identification in Type 2 Diabetes

Sarah Ellinor Engell^*, Henrik Bengtsson, Jeppe Sturis, Dimitri Boiroux, John Bagterp Jørgensen^*

^*Corresponding author for this work

Novo Nordisk A/S

Research output: Contribution to journal › Conference article › Research › peer-review

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Abstract

Model-based design of experiment (MBDoE) provides a framework to collect informative data for system identification. However, a parametric and structural mismatch between the design model and the underlying physical system can lead to hazardous experiments in safety critical systems. In this work, we present a method to safely improve system identification based on insights from a model-based optimal experimental design. From a visual inspection of a MBDoE, we select an approximated output curve fulfilling system constraints as a reference for the physical system. To avoid open-loop implementation of the MBDoE, we use our approximated reference together with a reference-tracking controller to collect experimental data in closed-loop. In this type 2 diabetes (T2D) case study, the proposed design method is safe and provides informative experimental data for system identification.

Original language	English
Book series	IFAC-PapersOnLine
Volume	56
Issue number	2
Pages (from-to)	9654-9659
DOIs	https://doi.org/10.1016/j.ifacol.2023.10.273
Publication status	Published - 2023
Event	22^nd IFAC World Congress - Pacific Convention Plaza Yokohama, Yokohama, Japan Duration: 9 Jul 2023 → 14 Jul 2023 Conference number: 22

Conference

Conference	22^nd IFAC World Congress
Number	22
Location	Pacific Convention Plaza Yokohama
Country/Territory	Japan
City	Yokohama
Period	09/07/2023 → 14/07/2023
Sponsor	Azbil Corporation, Fujita Corporation, Hitachi, Ltd., Kumagai Gumi Co., Ltd., The Society of Instrument and Control Engineers (SICE)

Keywords

Artificial Pancreas
Diabetes
Insulin
Optimal Experimental Design
Simulation
System Identification

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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FulltextFinal published version, 1.24 MBLicence: CC BY-NC-ND

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Cite this

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title = "From Optimal Design of Experiment to Safe System Identification in Type 2 Diabetes",

abstract = "Model-based design of experiment (MBDoE) provides a framework to collect informative data for system identification. However, a parametric and structural mismatch between the design model and the underlying physical system can lead to hazardous experiments in safety critical systems. In this work, we present a method to safely improve system identification based on insights from a model-based optimal experimental design. From a visual inspection of a MBDoE, we select an approximated output curve fulfilling system constraints as a reference for the physical system. To avoid open-loop implementation of the MBDoE, we use our approximated reference together with a reference-tracking controller to collect experimental data in closed-loop. In this type 2 diabetes (T2D) case study, the proposed design method is safe and provides informative experimental data for system identification.",

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note = "Publisher Copyright: Copyright {\textcopyright} 2023 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/); 22nd IFAC World Congress , IFAC 2023 ; Conference date: 09-07-2023 Through 14-07-2023",

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AU - Sturis, Jeppe

AU - Boiroux, Dimitri

AU - Jørgensen, John Bagterp

N1 - Conference code: 22

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AB - Model-based design of experiment (MBDoE) provides a framework to collect informative data for system identification. However, a parametric and structural mismatch between the design model and the underlying physical system can lead to hazardous experiments in safety critical systems. In this work, we present a method to safely improve system identification based on insights from a model-based optimal experimental design. From a visual inspection of a MBDoE, we select an approximated output curve fulfilling system constraints as a reference for the physical system. To avoid open-loop implementation of the MBDoE, we use our approximated reference together with a reference-tracking controller to collect experimental data in closed-loop. In this type 2 diabetes (T2D) case study, the proposed design method is safe and provides informative experimental data for system identification.

KW - Artificial Pancreas

KW - Diabetes

KW - Insulin

KW - Optimal Experimental Design

KW - Simulation

KW - System Identification

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From Optimal Design of Experiment to Safe System Identification in Type 2 Diabetes

Abstract

Conference

Keywords

UN SDGs

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