指数稳定性
噪音(视频)
数学
分布(数学)
理论(学习稳定性)
平稳分布
控制理论(社会学)
随机微分方程
非线性系统
应用数学
国家(计算机科学)
计算机科学
控制(管理)
数学分析
马尔可夫链
物理
统计
人工智能
算法
图像(数学)
机器学习
量子力学
作者
Wei Mao,Junhao Hu,Xuerong Mao
标识
DOI:10.1109/tac.2022.3209370
摘要
For many stochastic hybrid systems in the real world, it is inappropriate to study if their solutions will converge to an equilibrium state (say, 0 by default) but more appropriate to discuss if the probability distributions of the solutions will converge to a stationary distribution. The former is known as the asymptotic stability of the equilibrium state while the latter the stability in distribution. This paper aims to determine whether or not a stochastic state feedback control can make a given nonlinear hybrid differential equation, which is not stable in distribution, to become stable in distribution. We will refer to this problem as stabilisation in distribution by noise or stochastic stabilisation in distribution. Although the stabilisation by noise in the sense of almost surely exponential stability of the equilibrium state has been well studied, there is little known on the stabilisation in distribution by noise. This paper initiates the study in this direction.
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