FRANCO, Roberto; RÍOS, Héctor; FERREIRA DE LOZA, Alejandra; CASSANY, Louis; GUCIK-DERIGNY, David; CIESLAK, Jérôme; HENRY, David

doi:10.1002/rnc.6030

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FRANCO, Roberto

RÍOS, Héctor

FERREIRA DE LOZA, Alejandra

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Article de revue

Este ítem está publicado en

International Journal of Robust and Nonlinear Control. 2022-01

Resumen en inglés

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.< Leer menos

Palabras clave en inglés

Adaptive observers

Diabetes Mellitus

Sliding Mode

URI

https://oskar-bordeaux.fr/handle/20.500.12278/140466

DOI

http://dx.doi.org/10.1002/rnc.6030

Proyecto ANR

Capteurs bio-électroniques intégrant l'algorithme des îlots pour le contrôle de la glycémie en boucle ouverte et fermée - ANR-18-CE17-0005

Centros de investigación

IMS : Laboratoire de l'Intégration du Matériau au Système - UMR 5218