Optimal control strategy with multi-delay in state and control variables of a discrete mathematical modeling for the dynamics of diabetic population
Abstract
In order to have realistic model. In this paper, we propose to study an optimal control approach with delay in state and control variables in our discrete mathematical model of kouidere et al [5] talking about the dynamics of a population of diabetics with highlighting the impact of living environment, that time with delay represent the measuring the extent of interaction with the means of treatment or awareness campaigns.
The existence for the optimal control with delay is also provided by Pontryagin’s maximum principle is used to characterize these optimal controls. The optimality system is derived and then solved numerically using an algorithm based on the forward and backward difference approximation.
- Published
- 1 April 2020
- Volume
- 2020 (2020)
- License
- CC BY 3.0
Copyright © 2020 Abdelfatah Kouidere, Abderrahim Labzai, Bouchaib Khajji, Hanane Ferjouchia, Omar Balatif, Abdesslam Boutayeb, Mostafa Rachik. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Cite this article
A. Kouidere, A. Labzai, B. Khajji, H. Ferjouchia, O. Balatif, A. Boutayeb, M. Rachik, Optimal control strategy with multi-delay in state and control variables of a discrete mathematical modeling for the dynamics of diabetic population, Commun. Math. Biol. Neurosci. 2020 (2020), 14. https://doi.org/10.28919/cmbn/4486
BibTeX
@article{Kouidere2020,
author = {Kouidere, Abdelfatah and Labzai, Abderrahim and Khajji, Bouchaib and Ferjouchia, Hanane and Balatif, Omar and Boutayeb, Abdesslam and Rachik, Mostafa},
title = {Optimal control strategy with multi-delay in state and control variables of a discrete mathematical modeling for the dynamics of diabetic population},
journal = {Commun. Math. Biol. Neurosci.},
volume = {2020},
year = {2020},
pages = {14},
doi = {10.28919/cmbn/4486}
}