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 original | Inglés |
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Título de la publicación alojada | 60th IEEE Conference on Decision and Control, CDC 2021 |
Editorial | Institute of Electrical and Electronics Engineers Inc. |
Páginas | 661-666 |
Número de páginas | 6 |
ISBN (versión digital) | 9781665436595 |
DOI | |
Estado | Publicada - 2021 |
Publicado de forma externa | Sí |
Evento | 60th IEEE Conference on Decision and Control, CDC 2021 - Austin, Estados Unidos Duración: 13 dic. 2021 → 17 dic. 2021 |
Serie de la publicación
Nombre | Proceedings of the IEEE Conference on Decision and Control |
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Volumen | 2021-December |
ISSN (versión impresa) | 0743-1546 |
ISSN (versión digital) | 2576-2370 |
Conferencia
Conferencia | 60th IEEE Conference on Decision and Control, CDC 2021 |
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País/Territorio | Estados Unidos |
Ciudad | Austin |
Período | 13/12/21 → 17/12/21 |
Nota bibliográfica
Publisher Copyright:© 2021 IEEE.