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.
|Title of host publication||60th IEEE Conference on Decision and Control, CDC 2021|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||6|
|State||Published - 2021|
|Event||60th IEEE Conference on Decision and Control, CDC 2021 - Austin, United States|
Duration: 13 Dec 2021 → 17 Dec 2021
|Name||Proceedings of the IEEE Conference on Decision and Control|
|Conference||60th IEEE Conference on Decision and Control, CDC 2021|
|Period||13/12/21 → 17/12/21|
Bibliographical noteFunding Information:
This work was supported in part by the ECOS Nord Project M18M01, in part by SEP-CONACYT-ECOS-ANUIES 296692, and in part by the French National Agency for Research under Grant DIABLO ANR-18-CE17-0005-01. The work of Roberto Franco and Héctor Ríos was supported in part by CONACYT CVU 772057, in part by Cátedras CONACYT CVU 270504 Project 922, and in part by TecNM Projects. The work of Alejandra Ferreira de Loza was supported by Cátedras CONACYT CVU 166403, Project 1537.
© 2021 IEEE.
- Adaptive Control
- Blood Glucose Regulation
- Diabetes Mellitus Type 1