Model-based nonlinear optimal blood glucose control of type i diabetes patients

L. Kovács, Balázs Kulcsár, J. Bokor, Z. Benyó

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Citations (Scopus)

Abstract

Using induced L2-norm minimization, a robust controller was developed for insulin delivery in Type I diabetic patients. The high-complexity nonlinear diabetic patient Sorensen-model [1] was considered. LPV (Linear Parameter Varying) methodology was used to develop open loop model and robust controller. Considering the normoglycemic set point (81.1 mg/dL), a polytopic set was created over the physiologic boundaries of the glucose-insulin interaction of the Sorensenmodel. In this way, LPV model formalism was defined. The robust control was developed considering input and output multiplicative uncertainties with other weighting functions.

Original languageEnglish
Title of host publicationProceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"
Pages1607-1610
Number of pages4
Publication statusPublished - 2008
Event30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - Vancouver, BC, Canada
Duration: Aug 20 2008Aug 25 2008

Other

Other30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
CountryCanada
CityVancouver, BC
Period8/20/088/25/08

Fingerprint

Medical problems
Type 1 Diabetes Mellitus
Glucose
Blood Glucose
Blood
Insulin
Uncertainty
Controllers
Robust control

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

Cite this

Kovács, L., Kulcsár, B., Bokor, J., & Benyó, Z. (2008). Model-based nonlinear optimal blood glucose control of type i diabetes patients. In Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology" (pp. 1607-1610). [4649480]

Model-based nonlinear optimal blood glucose control of type i diabetes patients. / Kovács, L.; Kulcsár, Balázs; Bokor, J.; Benyó, Z.

Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology". 2008. p. 1607-1610 4649480.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kovács, L, Kulcsár, B, Bokor, J & Benyó, Z 2008, Model-based nonlinear optimal blood glucose control of type i diabetes patients. in Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"., 4649480, pp. 1607-1610, 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08, Vancouver, BC, Canada, 8/20/08.
Kovács L, Kulcsár B, Bokor J, Benyó Z. Model-based nonlinear optimal blood glucose control of type i diabetes patients. In Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology". 2008. p. 1607-1610. 4649480
Kovács, L. ; Kulcsár, Balázs ; Bokor, J. ; Benyó, Z. / Model-based nonlinear optimal blood glucose control of type i diabetes patients. Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology". 2008. pp. 1607-1610
@inproceedings{1425a2e777b84f158955a1dae837a9a2,
title = "Model-based nonlinear optimal blood glucose control of type i diabetes patients",
abstract = "Using induced L2-norm minimization, a robust controller was developed for insulin delivery in Type I diabetic patients. The high-complexity nonlinear diabetic patient Sorensen-model [1] was considered. LPV (Linear Parameter Varying) methodology was used to develop open loop model and robust controller. Considering the normoglycemic set point (81.1 mg/dL), a polytopic set was created over the physiologic boundaries of the glucose-insulin interaction of the Sorensenmodel. In this way, LPV model formalism was defined. The robust control was developed considering input and output multiplicative uncertainties with other weighting functions.",
author = "L. Kov{\'a}cs and Bal{\'a}zs Kulcs{\'a}r and J. Bokor and Z. Beny{\'o}",
year = "2008",
language = "English",
isbn = "9781424418152",
pages = "1607--1610",
booktitle = "Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - {"}Personalized Healthcare through Technology{"}",

}

TY - GEN

T1 - Model-based nonlinear optimal blood glucose control of type i diabetes patients

AU - Kovács, L.

AU - Kulcsár, Balázs

AU - Bokor, J.

AU - Benyó, Z.

PY - 2008

Y1 - 2008

N2 - Using induced L2-norm minimization, a robust controller was developed for insulin delivery in Type I diabetic patients. The high-complexity nonlinear diabetic patient Sorensen-model [1] was considered. LPV (Linear Parameter Varying) methodology was used to develop open loop model and robust controller. Considering the normoglycemic set point (81.1 mg/dL), a polytopic set was created over the physiologic boundaries of the glucose-insulin interaction of the Sorensenmodel. In this way, LPV model formalism was defined. The robust control was developed considering input and output multiplicative uncertainties with other weighting functions.

AB - Using induced L2-norm minimization, a robust controller was developed for insulin delivery in Type I diabetic patients. The high-complexity nonlinear diabetic patient Sorensen-model [1] was considered. LPV (Linear Parameter Varying) methodology was used to develop open loop model and robust controller. Considering the normoglycemic set point (81.1 mg/dL), a polytopic set was created over the physiologic boundaries of the glucose-insulin interaction of the Sorensenmodel. In this way, LPV model formalism was defined. The robust control was developed considering input and output multiplicative uncertainties with other weighting functions.

UR - http://www.scopus.com/inward/record.url?scp=61849151749&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=61849151749&partnerID=8YFLogxK

M3 - Conference contribution

SN - 9781424418152

SP - 1607

EP - 1610

BT - Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

ER -