Adaptive-learning model predictive control for complex physiological systems: Automated insulin delivery in diabetes-Reference-Cited by-同舟云学术

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Adaptive-learning model predictive control for complex physiological systems: Automated insulin delivery in diabetes

Published:2020 Issue: Volume:50 Page:1-12
ISSN:1367-5788
Container-title:Annual Reviews in Control
language:en
Short-container-title:Annual Reviews in Control

Author:

Askari Mohammad Reza,Hajizadeh Iman,Rashid Mudassir,Hobbs Nicole,Zavala Victor M.,Cinar Ali

Funder

National Institute of Diabetes and Digestive and Kidney Diseases

JDRF

Publisher

Elsevier BV

Subject

Control and Systems Engineering,Software

Reference63 articles.

1. Mobecs: Model-object based expert control systems;Basila Jr;IFAC Proceedings Volumes,1989

2. Physical activity-the major unaccounted impediment to closed loop control;Breton;Journal of Diabetes Science and Technology,2008

3. Representation of process trends-part I. A formal representation framework;Cheung;Computers & Chemical Engineering,1990

4. Consistency analysis of some closed-loop subspace identification methods;Chiuso;Automatica,2005

5. Subspace algorithms for the identification of multivariable dynamic errors-in-variables models;Chou;Automatica,1997

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