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由广义比例卡普托分数阶微分方程建模的基因调控网络的稳定性

Stability of Gene Regulatory Networks Modeled by Generalized Proportional Caputo Fractional Differential Equations.

作者信息

Almeida Ricardo, Agarwal Ravi P, Hristova Snezhana, O'Regan Donal

机构信息

Center for Research and Development in Mathematics and Applications, Department of Mathematics, University of Aveiro, 3810-193 Aveiro, Portugal.

Department of Mathematics, Texas A&M University-Kingsville, Kingsville, TX 78363, USA.

出版信息

Entropy (Basel). 2022 Mar 5;24(3):372. doi: 10.3390/e24030372.

Abstract

A model of gene regulatory networks with generalized proportional Caputo fractional derivatives is set up, and stability properties are studied. Initially, some properties of absolute value Lyapunov functions and quadratic Lyapunov functions are discussed, and also, their application to fractional order systems and the advantage of quadratic functions are pointed out. The equilibrium of the generalized proportional Caputo fractional model and its generalized exponential stability are defined, and sufficient conditions for the generalized exponential stability and asymptotic stability of the equilibrium are obtained. As a special case, the stability of the equilibrium of the Caputo fractional model is discussed. Several examples are provided to illustrate our theoretical results and the influence of the type of fractional derivative on the stability behavior of the equilibrium.

摘要

建立了一个具有广义比例卡普托分数阶导数的基因调控网络模型,并研究了其稳定性性质。首先,讨论了绝对值李雅普诺夫函数和二次李雅普诺夫函数的一些性质,同时指出了它们在分数阶系统中的应用以及二次函数的优势。定义了广义比例卡普托分数阶模型的平衡点及其广义指数稳定性,得到了平衡点广义指数稳定性和渐近稳定性的充分条件。作为特殊情况,讨论了卡普托分数阶模型平衡点的稳定性。给出了几个例子来说明我们的理论结果以及分数阶导数类型对平衡点稳定性行为的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0144/8947342/7a82d0ee203e/entropy-24-00372-g001.jpg

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