分数布朗运动
赫斯特指数
数学
应用数学
指数函数
奥恩斯坦-乌伦贝克过程
指数稳定性
理论(学习稳定性)
马尔可夫过程
布朗运动
随机微分方程
随机过程
数学分析
计算机科学
物理
统计
非线性系统
量子力学
机器学习
作者
Litan Yan,Wenyi Pei,Zhenzhong Zhang
摘要
In this paper, we focus on the exponential stability of stochastic differential equations driven by fractional Brownian motion (fBm) with Hurst parameter $ H\in(1/2, 1) $. Based on the generalized Itô formula and representation of the fBm, some sufficient conditions for exponential stability of a class of SDEs with additive fractional noise are given. Besides, we present a criterion on the exponential stability for the fractional Ornstein-Uhlenbeck process with Markov switching. A numerical example is provided to illustrate our results.
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