Optimal Control of an Eco-Epidemiological Reaction-Diffusion Model

In this paper, a prey–predator diffusion model with isolation and drug treatment control measures for prey infection is studied. The main objective is to find an optimal control that minimizes the population density of infected prey and the costs of isolation and drug treatment for infected prey. Through analysis, the existence and uniqueness of weak solution, as well as the existence and local uniqueness of optimal controls are proven. The first-order necessary condition is derived, and the feasibility of the theoretical proof is verified through numerical simulations.

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Publication Details

Journal
Mathematics
Published
2025-06-22
DOI
https://doi.org/10.3390/math13132069
Citations
1
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
1.88

Funders

Controls
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article

Optimal Control of an Eco-Epidemiological Reaction-Diffusion Model

Na Yang, F. Xu, Runmei Du, Xiaoxing Liang
1 citations
Mathematics
Mathematical and Theoretical Epidemiology and Ecology Models
1.88
article

Optimal Control of an Eco-Epidemiological Reaction-Diffusion Model

Na Yang, F. Xu, Runmei Du, Xiaoxing Liang
article en
1 citations

Abstract

In this paper, a prey–predator diffusion model with isolation and drug treatment control measures for prey infection is studied. The main objective is to find an optimal control that minimizes the population density of infected prey and the costs of isolation and drug treatment for infected prey. Through analysis, the existence and uniqueness of weak solution, as well as the existence and local uniqueness of optimal controls are proven. The first-order necessary condition is derived, and the feasibility of the theoretical proof is verified through numerical simulations.

MathematicsVol. 13(13)
Changchun University of Technology (CN), Dalian Minzu University (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 15%
Mathematical and Theoretical Epidemiology and Ecology Models
1.88
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