Hopf Bifurcation for a FitzHugh–Nagumo Model with Time Delay in a Network | Zendy

Suxia Wang | Zendy

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Hopf Bifurcation for a FitzHugh–Nagumo Model with Time Delay in a Network

Author(s) -

Suxia Wang

Publication year - 2021

Publication title -

complexity

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.447

H-Index - 61

eISSN - 1099-0526

pISSN - 1076-2787

DOI - 10.1155/2021/9931662

Subject(s) - hopf bifurcation , bifurcation , stability (learning theory) , reaction–diffusion system , population , mathematics , diffusion , biological applications of bifurcation theory , population model , control theory (sociology) , statistical physics , computer science , physics , mathematical analysis , thermodynamics , nonlinear system , demography , control (management) , quantum mechanics , machine learning , artificial intelligence , sociology

A reaction diffusion system is used to study the interaction between species in a population dynamic system. It is not only used in a population dynamic system with the diffusion phenomenon but also used in physical chemistry, medicine, and animal and plant protection. It has been studied by more and more scholars in recent years. The FitzHugh–Nagumo model is one of the most famous reaction-diffusion models. This article takes a deeper look at a FitzHugh–Nagumo model in a network with time delay. Firstly, we studied the linear stability of the equilibrium, then the existence of Hopf bifurcation is given, and finally, the stability of the Hopf bifurcation is introduced.

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