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Chaos control for a class of SIR epidemic model with seasonal fluctuation

机译:季节波动的一类SIR流行病模型的混沌控制

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In this paper, the problems of chaos control for a class of susceptible-infected-removed (SIR) epidemic model with seasonal fluctuation are investigated. The seasonality in outbreak is natural among infectious diseases, such as the common influenza, the type H1N1 influenza and so on. It is known that there exist chaotic phenomena in the epidemic model. Furthermore, the tracking control method is used to regulate chaotic motions in the epidemic model. A feedback control input is designed to achieve tracking of an ideal output. Thus, the density of infected individuals can converge to zero, in other words, the disease can be eliminated. Finally, numerical simulations are given to illustrate that the feedback control input is effective.
机译:本文研究了一类敏感感染(SIR)季节性波动的敏感感染(SIR)疫情模型的混沌控制问题。爆发的季节性在传染病中是自然的,例如常见的流感,H1N1流感类型等。众所周知,疫情模型存在混乱现象。此外,跟踪控制方法用于调节疫情模型中的混沌运动。反馈控制输入旨在实现理想输出的跟踪。因此,感染的个体的密度可以收敛到零,换句话说,可以消除疾病。最后,给出了数值模拟来说明反馈控制输入是有效的。

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