Direct Continuous Time System Identification of MISO Transfer Function Models applied to Type 1 Diabetes

Harald Kirchsteiger; Stephan Pölzer; Rolf Johansson; Eric Renard; Luigi del Re

doi:10.1109/CDC.2011.6161344

Direct Continuous Time System Identification of MISO Transfer Function Models applied to Type 1 Diabetes

Harald Kirchsteiger
, Stephan Pölzer
, Rolf Johansson
, Eric Renard
, Luigi del Re

Institute for Machine Intelligence

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

This paper shows an application of continuous time system identification methods to Type 1 diabetes. First, a general MISO transfer function structure with individual nominator and denominator polynomials for each input is assumed and a parameter estimation procedure via an iterative prediction error method presented. Then, the proposed identification method is evaluated on a simple simulation example and finally applied on real-life data from Type 1 diabetes patients with the purpose of modeling blood glucose dynamics. To this aim, the method was extended to consider the time-varying nature of the system.

Original language	English
Title of host publication	Proceedings of the 50th IEEE Conference on Decision and Control
Pages	5176-5181
Number of pages	6
DOIs	https://doi.org/10.1109/CDC.2011.6161344
Publication status	Published - Dec 2011

Publication series

Name	Proceedings of the IEEE Conference on Decision and Control
ISSN (Print)	0743-1546
ISSN (Electronic)	2576-2370

UN SDGs

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

SDG 3 Good Health and Well-being

Fields of science

203 Mechanical Engineering
202034 Control engineering
202012 Electrical measurement technology
206 Medical Engineering
202027 Mechatronics
202003 Automation
203027 Internal combustion engines
207109 Pollutant emission

JKU Focus areas

Mechatronics and Information Processing

Access to Document

10.1109/CDC.2011.6161344

Cite this

Kirchsteiger, H., Pölzer, S., Johansson, R., Renard, E., & del Re, L. (2011). Direct Continuous Time System Identification of MISO Transfer Function Models applied to Type 1 Diabetes. In Proceedings of the 50th IEEE Conference on Decision and Control (pp. 5176-5181). Article 6161344 (Proceedings of the IEEE Conference on Decision and Control). https://doi.org/10.1109/CDC.2011.6161344

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title = "Direct Continuous Time System Identification of MISO Transfer Function Models applied to Type 1 Diabetes",

abstract = "This paper shows an application of continuous time system identification methods to Type 1 diabetes. First, a general MISO transfer function structure with individual nominator and denominator polynomials for each input is assumed and a parameter estimation procedure via an iterative prediction error method presented. Then, the proposed identification method is evaluated on a simple simulation example and finally applied on real-life data from Type 1 diabetes patients with the purpose of modeling blood glucose dynamics. To this aim, the method was extended to consider the time-varying nature of the system.",

author = "Harald Kirchsteiger and Stephan P{\"o}lzer and Rolf Johansson and Eric Renard and \{del Re\}, Luigi",

year = "2011",

month = dec,

doi = "10.1109/CDC.2011.6161344",

language = "English",

isbn = "9781612848006",

series = "Proceedings of the IEEE Conference on Decision and Control",

pages = "5176--5181",

booktitle = "Proceedings of the 50th IEEE Conference on Decision and Control",

}

Kirchsteiger, H, Pölzer, S, Johansson, R, Renard, E & del Re, L 2011, Direct Continuous Time System Identification of MISO Transfer Function Models applied to Type 1 Diabetes. in Proceedings of the 50th IEEE Conference on Decision and Control., 6161344, Proceedings of the IEEE Conference on Decision and Control, pp. 5176-5181. https://doi.org/10.1109/CDC.2011.6161344

Direct Continuous Time System Identification of MISO Transfer Function Models applied to Type 1 Diabetes. / Kirchsteiger, Harald; Pölzer, Stephan; Johansson, Rolf et al.
Proceedings of the 50th IEEE Conference on Decision and Control. 2011. p. 5176-5181 6161344 (Proceedings of the IEEE Conference on Decision and Control).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

TY - GEN

T1 - Direct Continuous Time System Identification of MISO Transfer Function Models applied to Type 1 Diabetes

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AU - Pölzer, Stephan

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AU - Renard, Eric

AU - del Re, Luigi

PY - 2011/12

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AB - This paper shows an application of continuous time system identification methods to Type 1 diabetes. First, a general MISO transfer function structure with individual nominator and denominator polynomials for each input is assumed and a parameter estimation procedure via an iterative prediction error method presented. Then, the proposed identification method is evaluated on a simple simulation example and finally applied on real-life data from Type 1 diabetes patients with the purpose of modeling blood glucose dynamics. To this aim, the method was extended to consider the time-varying nature of the system.

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DO - 10.1109/CDC.2011.6161344

M3 - Conference proceedings

SN - 9781612848006

T3 - Proceedings of the IEEE Conference on Decision and Control

SP - 5176

EP - 5181

BT - Proceedings of the 50th IEEE Conference on Decision and Control

ER -

Direct Continuous Time System Identification of MISO Transfer Function Models applied to Type 1 Diabetes

Abstract

Publication series

UN SDGs

Fields of science

JKU Focus areas

Access to Document

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