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Artificial Pancreas System With Unannounced Meals Based on a Disturbance Observer and Feedforward Compensation

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Artificial Pancreas System With Unannounced Meals Based on a Disturbance Observer and Feedforward Compensation

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Sanz Diaz, R.; García Gil, PJ.; Diez, J.; Bondía Company, J. (2021). Artificial Pancreas System With Unannounced Meals Based on a Disturbance Observer and Feedforward Compensation. IEEE Transactions on Control Systems Technology. 29(1):454-460. https://doi.org/10.1109/TCST.2020.2975147

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/171219

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Title: Artificial Pancreas System With Unannounced Meals Based on a Disturbance Observer and Feedforward Compensation
Author: Sanz Diaz, Ricardo García Gil, Pedro José Diez, José-Luís Bondía Company, Jorge
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica
Issued date:
Abstract:
[EN] This brief is focused on the closed-loop control of postprandial glucose levels of patients with type 1 diabetes mellitus after unannounced meals, which is still a major challenge toward a fully autonomous artificial ...[+]
Subjects: Insulin , Sugar , Adaptation models , Mathematical model , Feedforward systems , Diabetes , Pancreas , Artificial pancreas (AP) , Disturbance observer (DOB) , Feedforward compensation , Type 1 diabetes
Copyrigths: Reserva de todos los derechos
Source:
IEEE Transactions on Control Systems Technology. (issn: 1063-6536 )
DOI: 10.1109/TCST.2020.2975147
Publisher:
Institute of Electrical and Electronics Engineers
Publisher version: https://doi.org/10.1109/TCST.2020.2975147
Project ID:
UPV/PAID-10-19
MINECO/DPI2016-78831-C2-1-R
Description: © 2021 IEEE. Personal use of this material is permitted. Permissíon from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertisíng or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Thanks:
This work was supported in part by the Ministerio de Economia y Competitividad under Grant DPI2016-78831-C2-1-R and in part by the European Union through FEDER Funds.
Type: Artículo

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