Blood Glucose Regulation in Patients with Type 1 Diabetes Mellitus: A Robust MRAC Approach

Roberto Franco, Hector Rios, Alejandra Ferreira De Loza, Denis Efimov, Louis Cassany, David Gucik-Derigny, Jerome Cieslak, David Henry

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

This paper deals with the problem of robust blood glucose regulation in critically ill patients affected by type 1 diabetes mellitus. The blood glucose measurement and insulin infusion are intravenous. The proposed algorithm regulates blood glucose and keeps it in the normoglycemia range, i.e., 70-180 mg/dl. To this aim, a control law is proposed based on a Nonlinear Model Reference Adaptive Control approach. The algorithm is composed of nonlinear adaptive gains that ensure convergence to zero of the regulation error. The approach is validated in the UVA/Padova metabolic simulator for ten in silico adult patients with unannounced meals. The results perform well and have minimal risk of hyperglycemic and hypoglycemic events.

Idioma originalInglés
Título de la publicación alojada60th IEEE Conference on Decision and Control, CDC 2021
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas661-666
Número de páginas6
ISBN (versión digital)9781665436595
DOI
EstadoPublicada - 2021
Publicado de forma externa
Evento60th IEEE Conference on Decision and Control, CDC 2021 - Austin, Estados Unidos
Duración: 13 dic. 202117 dic. 2021

Serie de la publicación

NombreProceedings of the IEEE Conference on Decision and Control
Volumen2021-December
ISSN (versión impresa)0743-1546
ISSN (versión digital)2576-2370

Conferencia

Conferencia60th IEEE Conference on Decision and Control, CDC 2021
País/TerritorioEstados Unidos
CiudadAustin
Período13/12/2117/12/21

Nota bibliográfica

Publisher Copyright:
© 2021 IEEE.

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