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

Kovács, L [Kovács, Levente (Irányítástechnika), author]; Szalay, P [Szalay, Péter (irányítástechnika), author]; Almássy, Z [Almássy, Zsuzsanna (gyermekgyógyászat...), author]; Benyó, Z [Benyó, Zoltán (Irányítástechnika), author] Department of Control Engineering and Informati... (BUTE / FEEI); Barkai, L [Barkai, László (Gyermekgyógyászat), author] Elméleti Egészségtudományi Tanszék (UM / FHCS)

English Article (Journal Article) Scientific
Published: IFAC PROCEEDINGS VOLUMES 1474-6670 2405-8963 44 (1 Part1) pp. 7114-7119 2011
Conference: 18th World Congress of the International Federation of Automatic Control, IFAC 2011 2011-08-28 [Milan, Milánó, Italy]
  • SJR Scopus - Control and Systems Engineering: Q3
Identifiers
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. © 2011 IFAC.
Citation styles: IEEEACMAPAChicagoHarvardCSLCopyPrint
2023-05-29 13:40