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

^*Korrespondierende/r Autor/-in für diese Arbeit

Publikation: Beitrag in Buch/Bericht/Tagungsband › Konferenzbeitrag › Begutachtung

28 Zitate (Scopus)

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.

Originalsprache	Englisch
Titel	2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011
Seiten	5176-5181
Seitenumfang	6
DOIs	https://doi.org/10.1109/CDC.2011.6161344
Publikationsstatus	Veröffentlicht - 2011
Extern publiziert	Ja
Veranstaltung	2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011 - Orlando, FL, USA/Vereinigte Staaten Dauer: 12 Dez. 2011 → 15 Dez. 2011

Publikationsreihe

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

Konferenz

Konferenz	2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011
Land/Gebiet	USA/Vereinigte Staaten
Ort	Orlando, FL
Zeitraum	12.12.2011 → 15.12.2011

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

SDG 3 – Gute Gesundheit und Wohlergehen

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10.1109/CDC.2011.6161344

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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 2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011 (S. 5176-5181). Artikel 6161344 (Proceedings of the IEEE Conference on Decision and Control). https://doi.org/10.1109/CDC.2011.6161344

@inproceedings{40dae06afc8744dca7fc47179efea420,

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",

doi = "10.1109/CDC.2011.6161344",

language = "English",

isbn = "9781612848006",

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

pages = "5176--5181",

booktitle = "2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011",

note = "2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011 ; Conference date: 12-12-2011 Through 15-12-2011",

}

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 2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011., 6161344, Proceedings of the IEEE Conference on Decision and Control, S. 5176-5181, 2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011, Orlando, FL, USA/Vereinigte Staaten, 12.12.2011. 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.
2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011. 2011. S. 5176-5181 6161344 (Proceedings of the IEEE Conference on Decision and Control).

Publikation: Beitrag in Buch/Bericht/Tagungsband › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - Direct continuous time system identification of MISO transfer function models applied to type 1 diabetes

AU - Kirchsteiger, Harald

AU - Pölzer, Stephan

AU - Johansson, Rolf

AU - Renard, Eric

AU - Del Re, Luigi

PY - 2011

Y1 - 2011

N2 - 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.

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.

UR - https://www.scopus.com/pages/publications/84860681727

U2 - 10.1109/CDC.2011.6161344

DO - 10.1109/CDC.2011.6161344

M3 - Conference contribution

AN - SCOPUS:84860681727

SN - 9781612848006

T3 - Proceedings of the IEEE Conference on Decision and Control

SP - 5176

EP - 5181

BT - 2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011

T2 - 2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011

Y2 - 12 December 2011 through 15 December 2011

ER -

Kirchsteiger H, Pölzer S, Johansson R, Renard E, Del Re L. Direct continuous time system identification of MISO transfer function models applied to type 1 diabetes. in 2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011. 2011. S. 5176-5181. 6161344. (Proceedings of the IEEE Conference on Decision and Control). doi: 10.1109/CDC.2011.6161344

Direct continuous time system identification of MISO transfer function models applied to type 1 diabetes

Abstract

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