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] Convergence Theorems for Stochastic Impulsive Systems With Application to Discrete-Time Stochastic Feedback Control
    Luo, Shixian
    Deng, Feiqi
    Jiang, Yan
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2025, 70 (01) : 431 - 446
  • [32] Almost sure exponential stability and stochastic stabilization of discrete-time stochastic systems with impulses
    Cai, Ting
    Cheng, Pei
    Liu, Xing
    Hua, Mingang
    JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2025, 453
  • [33] Stochastic optimal control problems of discrete-time Markov jump systems
    Song, Teng
    OPTIMAL CONTROL APPLICATIONS & METHODS, 2023, 44 (05) : 2551 - 2570
  • [34] Optimal timing control of discrete-time linear switched stochastic systems
    Liu, Xiaomei
    Zhang, Kanjian
    Li, Shengtao
    Fei, Shumin
    Wei, Haikun
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2014, 12 (04) : 769 - 776
  • [35] Input-to-state stability for discrete-time stochastic nonlinear systems
    Zhao, Ping
    Zhao, Yan
    Guo, Rongwei
    2015 34TH CHINESE CONTROL CONFERENCE (CCC), 2015, : 1799 - 1803
  • [36] Discrete-time controller for stochastic nonlinear polynomial systems with Poisson noises
    Hernandez-Gonzalez, M.
    Basin, M. V.
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2017, 48 (11) : 2235 - 2248
  • [37] Stability and stabilization of nonlinear discrete-time stochastic systems
    Jiang, Xiushan
    Tian, Senping
    Zhang, Tianliang
    Zhang, Weihai
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2019, 29 (18) : 6419 - 6437
  • [38] An invariance principle for nonlinear discrete autonomous dynamical systems
    Alberto, Luis F. C.
    Calliero, Tais R.
    Martins, Andre C. P.
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2007, 52 (04) : 692 - 697
  • [39] Detectability and observability of discrete-time stochastic systems and their applications
    Li, Zhao-Yan
    Wang, Yong
    Zhou, Bin
    Duan, Guang-Ren
    AUTOMATICA, 2009, 45 (05) : 1340 - 1346
  • [40] Stabilization of periodic discrete-time nonlinear systems
    Bensoubaya, M
    Ferfera, A
    Iggidr, A
    PROCEEDINGS OF THE 36TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5, 1997, : 921 - 922