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Optimal control of an HIV model with a trilinear antibody growth function
- Publication Year :
- 2021
-
Abstract
- We propose and study a new mathematical model of the human immunodeficiency virus (HIV). The main novelty is to consider that the antibody growth depends not only on the virus and on the antibodies concentration but also on the uninfected cells concentration. The model consists of five nonlinear differential equations describing the evolution of the uninfected cells, the infected ones, the free viruses, and the adaptive immunity. The adaptive immune response is represented by the cytotoxic T-lymphocytes (CTL) cells and the antibodies with the growth function supposed to be trilinear. The model includes two kinds of treatments. The objective of the first one is to reduce the number of infected cells, while the aim of the second is to block free viruses. Firstly, the positivity and the boundedness of solutions are established. After that, the local stability of the disease free steady state and the infection steady states are characterized. Next, an optimal control problem is posed and investigated. Finally, numerical simulations are performed in order to show the behavior of solutions and the effectiveness of the two incorporated treatments via an efficient optimal control strategy.<br />This is a preprint of a paper whose final and definite form is with 'Discrete and Continuous Dynamical Systems - Series S' (DCDS-S), ISSN 1937-1632 (print), ISSN 1937-1179 (online), available at [http://aimsciences.org/journal/1937-1632]. Paper Submitted 01-June-2019; Revised 10-May-2021; Accepted 21-May-2021. arXiv admin note: text overlap with arXiv:1801.10048
- Subjects :
- Steady state (electronics)
Human immunodeficiency virus (HIV)
medicine.disease_cause
Virus
medicine
FOS: Mathematics
Discrete Mathematics and Combinatorics
Applied mathematics
Cytotoxic T cell
Quantitative Biology - Populations and Evolution
Mathematics - Optimization and Control
Mathematics
biology
Applied Mathematics
Populations and Evolution (q-bio.PE)
49N90, 92D30, 93A30
Optimal control
Acquired immune system
Treatment
CTL
Optimization and Control (math.OC)
FOS: Biological sciences
biology.protein
HIV modeling
Antibody
Adaptive immune response
Stability
Analysis
Subjects
Details
- Language :
- English
- ISSN :
- 19371632
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....f55c0ee22cbd2022f541493e9d50299f