Analysis and event-triggered control for a stochastic epidemic model with logistic growth

Author:

Cai Tingting12,Wang Yuqian3,Wang Liang4,Tang Zongying1,Zhou Jun5

Affiliation:

1. College of Eco-Environmental Engineering, Yunnan Forestry Technological College, Kunming 650224, China

2. Innovation Group of Orchid Conservation and Utilization, Yunnan Forestry Technological College, Kunming 650224, China

3. Yunnan Forestry Senior Technical School, Kunming 650200, China

4. China Rongtong Agricultural Development Group Corporation Limited, Kunming 650031, China

5. College of Mathematics and Physics, Southwest Forestry University, Kunming 650224, China

Abstract

<abstract><p>In this paper, a stochastic epidemic model with logistic growth is discussed. Based on stochastic differential equation theory, stochastic control method, etc., the properties of the solution of the model nearby the epidemic equilibrium of the original deterministic system are investigated, the sufficient conditions to ensure the stability of the disease-free equilibrium of the model are established, and two event-triggered controllers to drive the disease from endemic to extinction are constructed. The related results show that the disease becomes endemic when the transmission coefficient exceeds a certain threshold. Furthermore, when the disease is endemic, we can drive the disease from endemic to extinction by choosing suitable event-triggering gains and control gains. Finally, the effectiveness of the results is illustrated by a numerical example.</p></abstract>

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Applied Mathematics,Computational Mathematics,General Agricultural and Biological Sciences,Modeling and Simulation,General Medicine

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