Generalized invariance principles for discrete-time stochastic dynamical systems

被引:6
|
作者
Zhou, Shijie [1 ,2 ,3 ,5 ]
Lin, Wei [1 ,2 ,3 ,4 ]
Wu, Jianhong [5 ]
机构
[1] Fudan Univ, Sch Math Sci, 220 Handan Rd, Shanghai 200433, Peoples R China
[2] Fudan Univ, LMNS, 220 Handan Rd, Shanghai 200433, Peoples R China
[3] Shanghai Ctr Math Sci, 2005 Songhu Rd, Shanghai 200433, Peoples R China
[4] Fudan Univ, Res Inst Intelligent Complex Syst, Shanghai 200433, Peoples R China
[5] York Univ, Dept Math & Stat, Toronto, ON M3J 1P3, Canada
基金
中国国家自然科学基金;
关键词
Invariance principle; Discrete-time stochastic dynamical systems; Lyapunov function; Semi-martingale convergence theorem; FUNCTIONAL-DIFFERENTIAL SYSTEMS; LASALLE-TYPE THEOREMS; HYBRID SYSTEMS; STABILITY; STABILIZATION; EQUATIONS; DESTABILIZATION;
D O I
10.1016/j.automatica.2022.110436
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article, based on the typical discrete-time semi-martingale convergence theorem, establishes several generalized versions of invariance principle for describing the long-term dynamical behaviors of discrete-time stochastic dynamical systems. These principles are suitable for investigating the dynamics in autonomous or non-autonomous systems and their applicability is demonstrated via using several representative examples. Particularly for autonomous systems, the established principle renders it possible to estimate the time when an orbit, initiating outside a particular bounded set, finally enters it. Furthermore, we provide a generalized version of discrete-time semi-martingale convergence theorem, and offer a counterexample to urge attentions to some delicate conditions that must be taken into account in the use of some version of convergence theorem. (C) 2022 Elsevier Ltd. All rights reserved.
引用
收藏
页数:10
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