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
相关论文
共 50 条
  • [31] Dynamic disturbance decoupling for discrete-time nonlinear systems: A solution in terms of generalized controlled invariance
    ArandaBricaire, E
    Kotta, U
    PROCEEDINGS OF THE 35TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4, 1996, : 4317 - 4318
  • [32] Generalized controlled invariance for discrete-time nonlinear systems with an application to the dynamic disturbance decoupling problem
    Aranda-Bricaire, E
    Kotta, Ü
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2001, 46 (01) : 165 - 171
  • [33] OPTIMIZATION OF DISCRETE-TIME, STOCHASTIC-SYSTEMS
    PAPAGEORGIOU, NS
    INDIAN JOURNAL OF PURE & APPLIED MATHEMATICS, 1993, 24 (01): : 1 - 13
  • [34] Stability of Nonlinear Stochastic Discrete-Time Systems
    Li, Yan
    Zhang, Weihai
    Liu, Xikui
    JOURNAL OF APPLIED MATHEMATICS, 2013,
  • [35] DECOMPOSITION OF NONLINEAR DISCRETE-TIME STOCHASTIC SYSTEMS
    韩崇昭
    Acta Mathematica Scientia, 1985, (04) : 399 - 413
  • [36] MINIMAX CONTROL OF DISCRETE-TIME STOCHASTIC SYSTEMS
    Gonzalez-Trejo, J. I.
    Hernandez-Lerma, O.
    Hoyos-Reyes, L. F.
    SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 2003, 41 (05) : 1626 - 1659
  • [37] Identification and Control of Discrete-time Stochastic Systems
    Li, Yong-zhi'
    Gong, Miao-kun
    Ruan, Rong-yao
    PROCEEDINGS OF THE 2009 CHINESE CONFERENCE ON PATTERN RECOGNITION AND THE FIRST CJK JOINT WORKSHOP ON PATTERN RECOGNITION, VOLS 1 AND 2, 2009, : 171 - +
  • [39] Losslessness of Nonlinear Stochastic Discrete-Time Systems
    Liu, Xikui
    Li, Yan
    Gao, Ning
    DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2015, 2015
  • [40] Stabilization for Discrete-time Stochastic Systems with Delay
    Li Lin
    Zhang Huanshui
    2014 33RD CHINESE CONTROL CONFERENCE (CCC), 2014, : 5415 - 5418