Rahman Mati Ur, Arfan Muhammad, Shah Kamal, Gómez-Aguilar J F
Department of Mathematics, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai P.R. China.
Department of Mathematics, University of Malakand, Chakdara Dir (Lower), Khyber Pakhtunkhawa, Pakistan.
Chaos Solitons Fractals. 2020 Nov;140:110232. doi: 10.1016/j.chaos.2020.110232. Epub 2020 Aug 25.
This paper is devoted to investigation of the fractional order fuzzy dynamical system, in our case, modeling the recent pandemic due to corona virus (COVID-19). The considered model is analyzed for exactness and uniqueness of solution by using fixed point theory approach. We have also provided the numerical solution of the nonlinear dynamical system with the help of some iterative method applying Caputo as well as Attangana-Baleanu and Caputo fractional type derivative. Also, random COVID-19 model described by a system of random differential equations was presented. At the end we have given some numerical approximation to illustrate the proposed method by applying different fractional values corresponding to uncertainty.
本文致力于研究分数阶模糊动力系统,在我们的案例中,该系统用于对近期由冠状病毒(COVID - 19)引发的大流行进行建模。通过使用不动点理论方法分析所考虑的模型,以确定解的精确性和唯一性。我们还借助应用卡普托(Caputo)以及阿坦加纳 - 巴莱亚努(Attangana - Baleanu)和卡普托分数型导数的一些迭代方法,给出了非线性动力系统的数值解。此外,还提出了由随机微分方程组描述的随机COVID - 19模型。最后,我们给出了一些数值近似,通过应用对应于不确定性的不同分数值来说明所提出的方法。