Mathematical modeling of the glucose–insulin system: A review

P Palumbo, S Ditlevsen, A Bertuzzi… - Mathematical …, 2013 - Elsevier
Mathematical modeling of the glucose–insulin feedback system is necessary to the
understanding of the homeostatic control, to analyze experimental data, to identify and …

Luenberger-like observers for nonlinear time-delay systems with application to the artificial pancreas: The attainment of good performance

A Borri, F Cacace, A De Gaetano… - IEEE Control …, 2017 - ieeexplore.ieee.org
The analysis and control of time-delay systems has gained increasing interest in the last
decades due to the effectiveness of delay differential equations (DDEs) in modeling a wide …

[HTML][HTML] Different strategies for diabetes by mathematical modeling: Applications of fractal–fractional derivatives in the sense of Atangana–Baleanu

KIA Ahmed, HDS Adam, MY Youssif, S Saber - Results in Physics, 2023 - Elsevier
For diabetes mellitus therapies, Bergman's minimal model is proposed. The present study is
devoted to mathematical modeling and analysis of the diabetes mellitus model without …

Modeling impulsive injections of insulin: towards artificial pancreas

M Huang, J Li, X Song, H Guo - SIAM Journal on Applied Mathematics, 2012 - SIAM
We propose two novel mathematical models with impulsive injection of insulin or its
analogues for type 1 and type 2 diabetes mellitus. One model incorporates the periodic …

Mathematical models of diabetes progression

A De Gaetano, T Hardy, B Beck… - American Journal …, 2008 - journals.physiology.org
Few attempts have been made to model mathematically the progression of type 2 diabetes.
A realistic representation of the long-term physiological adaptation to developing insulin …

An efficient nonlinear explicit model predictive control to regulate blood glucose in type-1 diabetic patient under parametric uncertainties

D Acharya, DK Das - Biomedical Signal Processing and Control, 2022 - Elsevier
With the aim of regulating plasma glucose level in a type-1 diabetic patient, a nonlinear
explicit model predictive control (NEMPC) is developed. The computational complexity in …

A revised Sorensen model: Simulating glycemic and insulinemic response to oral and intra-venous glucose load

S Panunzi, M Pompa, A Borri, V Piemonte… - Plos one, 2020 - journals.plos.org
In 1978, Thomas J. Sorensen defended a thesis in chemical engineering at the University of
California, Berkeley, where he proposed an extensive model of glucose-insulin control …

On semi-global exponential stability under sampling for locally Lipschitz time-delay systems

M Di Ferdinando, P Pepe… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this article, the stability preservation problem for locally Lipschitz nonlinear time-delay
systems, by emulation of continuous-time dynamic output feedback controllers, is studied …

A new approach to stabilize diabetes systems with time-varying delays and disturbance rejection

S Syafiie, F Alharbi, AA Alshehri, B Hasanain - Journal of the Franklin …, 2024 - Elsevier
In addition to meal intake, a diabetes system has a feedback behavior to balance the
constituents of the chemicals, which causes instability. Therefore, a search for a feedback …

[HTML][HTML] On Sontag's formula for the sampled-data observer-based stabilization of nonlinear time-delay systems

M Di Ferdinando, S Di Gennaro, P Pepe - Automatica, 2023 - Elsevier
In this paper, a new methodology for the design of sampled-data dynamic output feedback
(DOF) stabilizers for control-affine nonlinear time-delay systems is proposed. In particular …