Trudy Instituta matematiki, Tome 29 (2021) no. 1, pp. 41-51
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A. I. Astrovskii. Computing experiment with mathematical model of type 1 diabetes. Trudy Instituta matematiki, Tome 29 (2021) no. 1, pp. 41-51. http://geodesic.mathdoc.fr/item/TIMB_2021_29_1_a3/
@article{TIMB_2021_29_1_a3,
author = {A. I. Astrovskii},
title = {Computing experiment with mathematical model of type 1 diabetes},
journal = {Trudy Instituta matematiki},
pages = {41--51},
year = {2021},
volume = {29},
number = {1},
language = {ru},
url = {http://geodesic.mathdoc.fr/item/TIMB_2021_29_1_a3/}
}
TY - JOUR
AU - A. I. Astrovskii
TI - Computing experiment with mathematical model of type 1 diabetes
JO - Trudy Instituta matematiki
PY - 2021
SP - 41
EP - 51
VL - 29
IS - 1
UR - http://geodesic.mathdoc.fr/item/TIMB_2021_29_1_a3/
LA - ru
ID - TIMB_2021_29_1_a3
ER -
%0 Journal Article
%A A. I. Astrovskii
%T Computing experiment with mathematical model of type 1 diabetes
%J Trudy Instituta matematiki
%D 2021
%P 41-51
%V 29
%N 1
%U http://geodesic.mathdoc.fr/item/TIMB_2021_29_1_a3/
%G ru
%F TIMB_2021_29_1_a3
For the mathematical model of type 1 diabetes that simulates the glucose-insulin interaction in the patient's body (Hovorka model), a mathematical description of food intake is proposed, taking into account the time, duration, and weight of carbohydrate food ingested. Changes over time of the main variables characterizing the patient are presented in the form of a system of ten ordinary differential equations. The results of the computational experiment are presented in graphical form.
[2] Astrovskii A.I., Gaishun I.V., Lineinye sistemy s kvazidifferentsiruemymi koeffitsientami: upravlyaemost i nablyudaemost dvizhenii, Belaruskaya navuka, Minsk, 2013
[3] Astrovskii A.I., Gaishun I.V., “Observability of Linear Time-Varying Systems with Quasi-derivative Coefficients”, SIAM J. Control and Optimization, 57:3 (2019), 1710–1729 | DOI | MR | Zbl
[4] Astrovskii A.I., Gaishun I.V., “Otsenivanie sostoyanii lineinykh nestatsionarnykh sistem nablyudeniya”, Differentsialnye uravneniya, 55:3 (2019), 370–379 | DOI | Zbl
[5] Hovorka R., Canonico V., Chassin L.J. and etc., “Nonlinear model predictive control of glucose concentration in subjects with type 1 diabetes”, Physiological Measurement, 25 (2004), 905–920 | DOI