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The Stochastic Stability of Internal HIV Models with Gaussian White Noise and Gaussian Colored Noise

机译:高斯白噪声和高斯彩色噪声内部HIV模型的随机稳定性

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摘要

In this paper, the stochastic stability of internal HIVmodels driven byGaussianwhite noise andGaussian colored noise is analyzed. First, the stability of deterministic models is investigated. By analyzing the characteristic values of endemic equilibrium, we could obtain that internal HIVmodels reach a steady state under the influence of RTI and PI drugs.Thenwe discuss the stochastic stability of internal HIV models driven by Gaussian white noise and Gaussian colored noise, based on probability density functions. The functional methods are carried out to derive the approximate Fokker-Planck equation of stochastic internal HIV systems and further obtain the marginal probability density functions. Finally, numerical results show that the noise intensities have a great influence on uninfected cell, infected cell, and virus particles, for predicting the stability of stochastic dynamic systems subjected to Gaussian white noise and Gaussian colored noise.
机译:在本文中,分析了内部HiVModels的随机稳定性,驱动了由GaussianWhite噪声噪声噪声噪声噪声驱动。 首先,研究了确定性模型的稳定性。 通过分析流动性均衡的特征值,我们可以获得内部HiVModels在RTI和PI药物的影响下达到稳定状态。该公司基于概率,在高斯白噪声和高斯色噪声驱动的内部艾滋病模型的随机稳定性 密度函数。 进行功能方法以导出随机内部HIV系统的近似Fokker-Planck方程,进一步获得边际概率密度函数。 最后,数值结果表明,噪声强度对未感染的细胞,受感染的细胞和病毒颗粒具有很大影响,用于预测高斯白噪声和高斯彩色噪声的随机动态系统的稳定性。

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