Nonlinear Model Predictive Control and System Identification for a Dual-hormone Artificial Pancreas-Reference-Cited by-同舟云学术

Nonlinear Model Predictive Control and System Identification for a Dual-hormone Artificial Pancreas

Published:2022 Issue:7 Volume:55 Page:915-921
ISSN:2405-8963
Container-title:IFAC-PapersOnLine
language:en
Short-container-title:IFAC-PapersOnLine

Author:

Reenberg Asbjørn Thode,Ritschel Tobias K.S.,Lindkvist Emilie B.,Laugesen Christian,Svensson Jannet,Ranjan Ajenthen G.,Nørgaard Kirsten,Jørgensen John Bagterp

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference24 articles.

1. DREAM5: An open‐label, randomized, cross‐over study to evaluate the safety and efficacy of day and night closed‐loop control by comparing the MD‐Logic automated insulin delivery system to sensor augmented pump therapy in patients with type 1 diabetes at home

2. A multiple shooting algorithm for direct solution of optimal control problems;Bock;IFAC Proceedings Volumes,1984

3. Adaptive model predictive control for a dual-hormone artificial pancreas;Boiroux;Journal of Process Control,2018

4. Overnight glucose control in people with type 1 diabetes;Boiroux;Biomedical Signal Processing and Control,2018

5. Nonlinear model predictive control and artificial pancreas technologies;Boiroux,2018

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1. Optimal Experimental Design for System Identification in a Bi-Hormonal Intraperitoneal Artificial Pancreas;2024 European Control Conference (ECC);2024-06-25

2. Identification of heat exchanger process through Hammerstein and polynomial models;Physica Scripta;2024-06-06

3. Recent advances in the precision control strategy of artificial pancreas;Medical & Biological Engineering & Computing;2024-02-28

4. Hardware design for blood glucose control based on the Sorensen diabetic patient model using a robust evolving cloud-based controller;Computer Methods in Biomechanics and Biomedical Engineering;2023-11

5. Performance of a dual-hormone closed-loop system versus insulin-only closed-loop system in adolescents with type 1 diabetes. A single-blind, randomized, controlled, crossover trial;Frontiers in Endocrinology;2023-01-23