混杂随机系统基于离散时间状态观测的几乎必然指数镇定
详细信息    查看全文 | 推荐本文 |
  • 英文篇名:Almost surely exponential stabilization of stochastic hybrid system based on discrete-time state observations
  • 作者:余珮琳 ; 崔瑶 ; 程培
  • 英文作者:YU Peilin;CUI Yao;CHENG Pei;School of Mathematical Sciences,Anhui University;
  • 关键词:混杂随机系统 ; 离散时间观测 ; Lyapunov函数 ; 几乎必然指数镇定 ; p阶矩指数稳定
  • 英文关键词:hybrid random system;;discrete time observation;;Lyapunov function;;almost surely exponential stabilization;;the pth moment exponential stabilization
  • 中文刊名:GXGX
  • 英文刊名:Journal of Guangxi University of Science and Technology
  • 机构:安徽大学数学科学学院;
  • 出版日期:2019-04-15 08:38
  • 出版单位:广西科技大学学报
  • 年:2019
  • 期:v.30
  • 基金:国家自然科学基金项目(11771001)资助
  • 语种:中文;
  • 页:GXGX201902017
  • 页数:6
  • CN:02
  • ISSN:45-1395/T
  • 分类号:118-123
摘要
基于离散时间状态观测,研究混杂随机系统的几乎必然指数镇定.在扩散项和漂移项中同时加入反馈控制器,通过选取适当的Lyapunov函数,利用Markov链的平稳分布和稳定性分析的方法,得到混杂随机系统的几乎必然指数镇定,再通过含有线性反馈控制器系统的稳定性来说明所得结果的可行性.
        The paper studies the almost surely exponential stabilization of hybrid stochastic systems,based on the observations of discrete-time state and the control function which is embedded into the drift part and diffusion part. We get the almost surely exponential stabilization of the hybrid random system by choosing appropriate Lyapunov function, using Markov chain stationary distribution and methods of stability analysis. The stability of the system with linear feedback controller is used to illustrate the feasibility of the results.
引文
[1]孙云霞,程培,李殿强,等.脉冲随机Cohen-Grossberg神经网络的几乎必然指数稳定性[J].广西科技大学学报,2017,28(2):42-47.
    [2]高远.混沌系统的参数微扰随机脉冲控制[J].广西工学院学报,2004,15(2):14-18.
    [3]QIU Q W,LIU W,HU L J,et al.Stabilization of stochastic differential equations with markovian switching by feedback control based on discretetime state observation with a time delay[J].Statistics&Probability Letters,2016,115:16-26.
    [4]YIN G,XI F B.Stability of regime-switching jump diffusions[J].SIAM journalon control and optimization,2010,48(7):4525-4549.
    [5]ZHANG D F,CHEN Z J.Exponential stability for stochastic differential equation driven by G-Brownian motion[J].Applied Mathematics Letters,2012,25(11):1906-1910.
    [6]DONG R,MAO X R.On pth moment stabilization of hybrid system sby discrete-time feedback control[J].Stochastic Analysis and Applications,2017,35(1):1-20.
    [7]ZHU Q X,ZHANG Q Y.Pth moment exponential stabilisation of hybrid stochastic differential equations by feedback controls based on discretetime state observations with a time delay[J].Iet Control Theory&Applications,2017,11(12):1992-2003.
    [8]LI Y Y,LU J Q,MAO X R,et al.Stabilization of hybrid systems by feedback control based on discrete-time state and mode observations[J].Asian Journal of Control,2017,19(2):1943-1953.
    [9]PENG S G,ZHANG Y,YU S M.Global mean-square exponential stabilization of stochastic system with time delay via impulsive control[J].Asian Journal of Control,2012,14(1):288-299.
    [10]MAO X R.Stabilization of continuous-time hybrid stochastic differential equations by discrete-time feedback control[J].Automatica,2013,49(12):3677-3681.
    [11]MAO X R,LIU W,HU L J,et al.Stabilization of hybrid stochastic differential equations by feedback control based on discrete-time state observations[J].Systems&Control Letters,2014,73:88-95.
    [12]MAO X R,YIN G G,YUANC G.Stabilization and destabilization of hybrid systems of stochastic differential equations[J].Automatica,2007,43(2):264-273.
    [13]DONG R.Almost sure exponential stabilization by stochastic feedback control based on discrete-time observations[J].Stochastic Analysis Applications,2018,36(4):561-583.
    [14]SONG G F,LU Z Y,ZHENG B C,et al.Almost sure stabilization of hybrid systems by feedback control based on discrete-time observations of mode and state[J].Science China Information Sciences,2018,61(7):130-145.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700