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

Levente Kovács, Péter Szalay, Zsuzsanna Almássy, Zoltán 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 publicationProceedings of the 18th IFAC World Congress
PublisherIFAC Secretariat
Pages7114-7119
Number of pages6
Edition1 PART 1
ISBN (Print)9783902661937
DOIs
Publication statusPublished - Jan 1 2011

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Number1 PART 1
Volume44
ISSN (Print)1474-6670

Keywords

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

ASJC Scopus subject areas

  • Control and Systems Engineering

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  • 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 Proceedings of the 18th IFAC World Congress (1 PART 1 ed., pp. 7114-7119). (IFAC Proceedings Volumes (IFAC-PapersOnline); Vol. 44, No. 1 PART 1). IFAC Secretariat. https://doi.org/10.3182/20110828-6-IT-1002.03460