Quasi in-silico validations of a nonlinear LPV model-based robust glucose control algorithm for type i diabetes

L. Kovács, Péter Szalay, Zsuzsanna Almássy, Z. Benyó, László Barkai

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

4 Citations (Scopus)

Abstract

Generating optimal control algorithms for artificial pancreases is an intensively researched problem. In this paper the feedback control of type 1 diabetic patients using subcutaneous insulin delivery and subcutaneous glucose monitoring is considered on the high-complexity modified nonlinear diabetic patient Sorensen-model. An acceptable compromise between the model's complexity and the developed control algorithm is certainly the choice of the parametrically varying system (LPV) description. A recently developed nonlinear model-based LPV robust controller is used and its efficiency is tested in quasi in silico mode. Min. 1 week's real data of 30 type 1 diabetic patient (aged between 6-52 years) equipped with Medtronic insulin pump were compared with simulation results of the control algorithm using static and dynamic glucose absorption profiles. The developed framework kept blood glucose level more than 90% of the time inside the 4-8 mmol/l interval (without any recalibration of the algorithm) proving its robustness.

Original languageEnglish
Title of host publicationIFAC Proceedings Volumes (IFAC-PapersOnline)
Pages7114-7119
Number of pages6
Volume18
EditionPART 1
DOIs
Publication statusPublished - 2011
Event18th IFAC World Congress - Milano, Italy
Duration: Aug 28 2011Sep 2 2011

Other

Other18th IFAC World Congress
CountryItaly
CityMilano
Period8/28/119/2/11

Fingerprint

Medical problems
Glucose
Insulin
Feedback control
Blood
Pumps
Controllers
Monitoring

Keywords

  • LPV
  • Polytopic set
  • Quasi in silico
  • Robust control
  • Type I diabetes

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Kovács, L., Szalay, P., Almássy, Z., Benyó, Z., & Barkai, L. (2011). Quasi in-silico validations of a nonlinear LPV model-based robust glucose control algorithm for type i diabetes. In IFAC Proceedings Volumes (IFAC-PapersOnline) (PART 1 ed., Vol. 18, pp. 7114-7119) https://doi.org/10.3182/20110828-6-IT-1002.03460

Quasi in-silico validations of a nonlinear LPV model-based robust glucose control algorithm for type i diabetes. / Kovács, L.; Szalay, Péter; Almássy, Zsuzsanna; Benyó, Z.; Barkai, László.

IFAC Proceedings Volumes (IFAC-PapersOnline). Vol. 18 PART 1. ed. 2011. p. 7114-7119.

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

Kovács, L, Szalay, P, Almássy, Z, Benyó, Z & Barkai, L 2011, Quasi in-silico validations of a nonlinear LPV model-based robust glucose control algorithm for type i diabetes. in IFAC Proceedings Volumes (IFAC-PapersOnline). PART 1 edn, vol. 18, pp. 7114-7119, 18th IFAC World Congress, Milano, Italy, 8/28/11. https://doi.org/10.3182/20110828-6-IT-1002.03460
Kovács L, Szalay P, Almássy Z, Benyó Z, Barkai L. Quasi in-silico validations of a nonlinear LPV model-based robust glucose control algorithm for type i diabetes. In IFAC Proceedings Volumes (IFAC-PapersOnline). PART 1 ed. Vol. 18. 2011. p. 7114-7119 https://doi.org/10.3182/20110828-6-IT-1002.03460
Kovács, L. ; Szalay, Péter ; Almássy, Zsuzsanna ; Benyó, Z. ; Barkai, László. / Quasi in-silico validations of a nonlinear LPV model-based robust glucose control algorithm for type i diabetes. IFAC Proceedings Volumes (IFAC-PapersOnline). Vol. 18 PART 1. ed. 2011. pp. 7114-7119
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