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

Gaussian white noise almost sure exponential stability event-triggered control mean square stability stochastic epidemic model

Journal

Mathematical biosciences and engineering : MBE
ISSN: 1551-0018
Titre abrégé: Math Biosci Eng
Pays: United States
ID NLM: 101197794

Informations de publication

Date de publication:
Jan 2023
Historique:
entrez: 11 3 2023
pubmed: 12 3 2023
medline: 12 3 2023
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 36899532
doi: 10.3934/mbe.2023105
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2243-2260

Auteurs

Tingting Cai (T)

College of Eco-Environmental Engineering, Yunnan Forestry Technological College, Kunming 650224, China.
Innovation Group of Orchid Conservation and Utilization, Yunnan Forestry Technological College, Kunming 650224, China.

Yuqian Wang (Y)

Yunnan Forestry Senior Technical School, Kunming 650200, China.

Liang Wang (L)

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

Zongying Tang (Z)

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

Jun Zhou (J)

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

Classifications MeSH