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Stability Analysis of a Fractional-Order SEIR-KS Computer Virus-Spreading Model with Two Delays
Author(s) -
Zhufeng Wang,
Xiaoqian Nie,
Maoxin Liao
Publication year - 2021
Publication title -
journal of mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.252
H-Index - 13
eISSN - 2314-4785
pISSN - 2314-4629
DOI - 10.1155/2021/6144953
Subject(s) - hopf bifurcation , mathematics , laplace transform , stability (learning theory) , bifurcation , equilibrium point , bifurcation theory , order (exchange) , fractional calculus , mathematical analysis , differential equation , computer science , physics , nonlinear system , finance , quantum mechanics , machine learning , economics
In this paper, the stability and Hopf bifurcation of a fractional-order model of the Susceptible-Exposed-Infected-Kill Signals Recovered (SEIR-KS) computer virus with two delays are studied. The sufficient conditions for solving the stability and the occurrence of Hopf bifurcation of the system are established by using Laplace transform, stability theory, and Hopf bifurcation theorem of fractional-order differential systems. The research shows that time delays and fractional order q have an important effect on the stability and the emergence of Hopf bifurcation of the fractional computer virus model. In addition, the validity of the theoretical analysis is verified by selecting appropriate system parameters for numerical simulation and the biological correlation of the equilibrium point is discussed. The results show that the bifurcation point of the model increases with the decrease in the model fractional order q. Under the same fractional order q, the effects of different types of delays on bifurcation points are obviously different.

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