Bézier curve parametrisation and echo state network methods for solving optimal control problems of SIR model

In this work, we introduce an optimal control problem with two control variables of the SIR (susceptible-infected-recovered) epidemic model to minimise the infective and susceptible individuals. To solve the control problem, we use direct Bernstein–Bézier parametrisation of the control variables and...

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Published inBioSystems Vol. 186; p. 104029
Main Authors Kmet, Tibor, Kmetova, Maria
Format Journal Article
LanguageEnglish
Published Ireland Elsevier B.V 01.12.2019
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Online AccessGet full text
ISSN0303-2647
1872-8324
1872-8324
DOI10.1016/j.biosystems.2019.104029

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Abstract In this work, we introduce an optimal control problem with two control variables of the SIR (susceptible-infected-recovered) epidemic model to minimise the infective and susceptible individuals. To solve the control problem, we use direct Bernstein–Bézier parametrisation of the control variables and metaheuristic optimisation methods of an objective function, and indirect methods, adaptive critic design (ACD) with echo state networks (ESNs) and Pontryagin's maximum principle. We propose Bernstein–Bézier parametrisation and ESNs based algorithms to solve optimal control problems for systems governed by differential equations. We use ACD with ESNs to approximate co-state equations. Our simulations have shown that the proposed two methods are able to solve optimal control problems.
AbstractList In this work, we introduce an optimal control problem with two control variables of the SIR (susceptible-infected-recovered) epidemic model to minimise the infective and susceptible individuals. To solve the control problem, we use direct Bernstein-Bézier parametrisation of the control variables and metaheuristic optimisation methods of an objective function, and indirect methods, adaptive critic design (ACD) with echo state networks (ESNs) and Pontryagin's maximum principle. We propose Bernstein-Bézier parametrisation and ESNs based algorithms to solve optimal control problems for systems governed by differential equations. We use ACD with ESNs to approximate co-state equations. Our simulations have shown that the proposed two methods are able to solve optimal control problems.In this work, we introduce an optimal control problem with two control variables of the SIR (susceptible-infected-recovered) epidemic model to minimise the infective and susceptible individuals. To solve the control problem, we use direct Bernstein-Bézier parametrisation of the control variables and metaheuristic optimisation methods of an objective function, and indirect methods, adaptive critic design (ACD) with echo state networks (ESNs) and Pontryagin's maximum principle. We propose Bernstein-Bézier parametrisation and ESNs based algorithms to solve optimal control problems for systems governed by differential equations. We use ACD with ESNs to approximate co-state equations. Our simulations have shown that the proposed two methods are able to solve optimal control problems.
In this work, we introduce an optimal control problem with two control variables of the SIR (susceptible-infected-recovered) epidemic model to minimise the infective and susceptible individuals. To solve the control problem, we use direct Bernstein-Bézier parametrisation of the control variables and metaheuristic optimisation methods of an objective function, and indirect methods, adaptive critic design (ACD) with echo state networks (ESNs) and Pontryagin's maximum principle. We propose Bernstein-Bézier parametrisation and ESNs based algorithms to solve optimal control problems for systems governed by differential equations. We use ACD with ESNs to approximate co-state equations. Our simulations have shown that the proposed two methods are able to solve optimal control problems.
ArticleNumber 104029
Author Kmet, Tibor
Kmetova, Maria
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Keywords Adaptive critic design
Numerical examples
Particle swarm optimisation
SIR model
Optimal control problem
Echo state networks
Bernstein–Bézier curve
Invasive weed optimisation
Language English
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Snippet In this work, we introduce an optimal control problem with two control variables of the SIR (susceptible-infected-recovered) epidemic model to minimise the...
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StartPage 104029
SubjectTerms Adaptive critic design
Algorithms
Bernstein–Bézier curve
Echo state networks
Humans
Invasive weed optimisation
Models, Theoretical
Neural Networks, Computer
Numerical examples
Optimal control problem
Particle swarm optimisation
SIR model
Title Bézier curve parametrisation and echo state network methods for solving optimal control problems of SIR model
URI https://dx.doi.org/10.1016/j.biosystems.2019.104029
https://www.ncbi.nlm.nih.gov/pubmed/31540680
https://www.proquest.com/docview/2295485974
Volume 186
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