Parameter identification and state estimation for a diabetic glucose‐insulin model via an adaptive observer
Language
EN
Article de revue
This item was published in
International Journal of Robust and Nonlinear Control. 2022-01
English Abstract
In this article, an adaptive observer is designed for patients with Type 1 DiabetesMellitus.The adaptive observer, synthesized using the so-called Bergman’sMinimal Model, simultaneously estimates the states and the parameter ...Read more >
In this article, an adaptive observer is designed for patients with Type 1 DiabetesMellitus.The adaptive observer, synthesized using the so-called Bergman’sMinimal Model, simultaneously estimates the states and the parameter correspondingto the insulin-independent glucose disappearance rate. The adaptiveobserver dealswith parameter uncertainties,whereas the food intake is regardedas an external disturbance. The adaptive observer relies on intravenous glucosemeasurements. The state estimation error converges to a neighborhood of theorigin despite the effects of the external disturbances and uncertainties, whilethe parameter estimation error converges in a fixed time to a neighborhood of theorigin. The adaptive observer synthesis is given by a constructive method basedon linear matrix inequalities. Simulation results show the feasibility of the proposedscheme. Moreover, the approach is validated in UVA/Padova metabolicsimulator for ten in silico adult patients.Read less <
English Keywords
Adaptive observers
Diabetes Mellitus
Sliding Mode
ANR Project
Capteurs bio-électroniques intégrant l'algorithme des îlots pour le contrôle de la glycémie en boucle ouverte et fermée - ANR-18-CE17-0005