Distributed Control and the Lyapunov Characteristic Exponents in the Model of Infectious Diseases

The Marchuk model of infectious diseases is considered. Distributed control to make convergence to stationary point faster is proposed. Medically, this means that treatment time can be essentially reduced. Decreasing the concentration of antigen, this control facilitates the patient’s condition and...

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Main Authors: M. Bershadsky, M. Chirkov, A. Domoshnitsky, S. Rusakov, I. Volinsky
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2019/5234854
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author M. Bershadsky
M. Chirkov
A. Domoshnitsky
S. Rusakov
I. Volinsky
author_facet M. Bershadsky
M. Chirkov
A. Domoshnitsky
S. Rusakov
I. Volinsky
author_sort M. Bershadsky
collection DOAJ
description The Marchuk model of infectious diseases is considered. Distributed control to make convergence to stationary point faster is proposed. Medically, this means that treatment time can be essentially reduced. Decreasing the concentration of antigen, this control facilitates the patient’s condition and gives a certain new idea of treating the disease. Our approach involves the analysis of integro-differential equations. The idea of reducing the system of integro-differential equations to a system of ordinary differential equations is used. The final results are given in the form of simple inequalities on the parameters. The results of numerical calculations of simulation models and data comparison in the case of using distributive control and in its absence are given.
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institution Kabale University
issn 1076-2787
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publishDate 2019-01-01
publisher Wiley
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series Complexity
spelling doaj-art-f44dfcab02224ca18b8093ca80d9fabd2025-08-20T03:25:43ZengWileyComplexity1076-27871099-05262019-01-01201910.1155/2019/52348545234854Distributed Control and the Lyapunov Characteristic Exponents in the Model of Infectious DiseasesM. Bershadsky0M. Chirkov1A. Domoshnitsky2S. Rusakov3I. Volinsky4Ariel University, Ariel, IsraelPerm State University, Perm, RussiaAriel University, Ariel, IsraelPerm State University, Perm, RussiaAriel University, Ariel, IsraelThe Marchuk model of infectious diseases is considered. Distributed control to make convergence to stationary point faster is proposed. Medically, this means that treatment time can be essentially reduced. Decreasing the concentration of antigen, this control facilitates the patient’s condition and gives a certain new idea of treating the disease. Our approach involves the analysis of integro-differential equations. The idea of reducing the system of integro-differential equations to a system of ordinary differential equations is used. The final results are given in the form of simple inequalities on the parameters. The results of numerical calculations of simulation models and data comparison in the case of using distributive control and in its absence are given.http://dx.doi.org/10.1155/2019/5234854
spellingShingle M. Bershadsky
M. Chirkov
A. Domoshnitsky
S. Rusakov
I. Volinsky
Distributed Control and the Lyapunov Characteristic Exponents in the Model of Infectious Diseases
Complexity
title Distributed Control and the Lyapunov Characteristic Exponents in the Model of Infectious Diseases
title_full Distributed Control and the Lyapunov Characteristic Exponents in the Model of Infectious Diseases
title_fullStr Distributed Control and the Lyapunov Characteristic Exponents in the Model of Infectious Diseases
title_full_unstemmed Distributed Control and the Lyapunov Characteristic Exponents in the Model of Infectious Diseases
title_short Distributed Control and the Lyapunov Characteristic Exponents in the Model of Infectious Diseases
title_sort distributed control and the lyapunov characteristic exponents in the model of infectious diseases
url http://dx.doi.org/10.1155/2019/5234854
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