Incorporating Prior Information in Adaptive Model Predictive Control for Multivariable Artificial Pancreas Systems

Adaptive model predictive control (MPC) algorithms that recursively update the glucose prediction model are shown to be promising in the development of fully automated multivariable artificial pancreas systems. However, the recursively updated glycemic prediction models do not explicitly consider pr...

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Vydané v:	Journal of diabetes science and technology Ročník 16; číslo 1; s. 19
Hlavní autori:	Sun, Xiaoyu, Rashid, Mudassir, Hobbs, Nicole, Brandt, Rachel, Askari, Mohammad Reza, Cinar, Ali
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 01.01.2022
Predmet:	Algorithms Blood Glucose Blood Glucose Self-Monitoring Diabetes Mellitus, Type 1 - drug therapy Humans Hypoglycemic Agents Insulin Insulin Infusion Systems Pancreas, Artificial Predictive Value of Tests model predictive control type 1 diabetes latent variable model artificial pancreas systems missing data
ISSN:	1932-2968, 1932-3107
On-line prístup:	Zistit podrobnosti o prístupe
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