Almost sure exponential stabilization by stochastic feedback control based on discrete-time observations

被引:13
|
作者
Dong, Ran [1 ]
机构
[1] Univ Strathclyde, Dept Math & Stat, Glasgow G1 1XH, Lanark, Scotland
关键词
Stochastic feedback control; Markov chain; almost sure exponential stabilization; Brownian motion; discrete-time observations; DIFFERENTIAL-EQUATIONS; HYBRID SYSTEMS; STATE OBSERVATIONS; MOMENT STABILITY; DELAY; DESTABILIZATION; SYNCHRONIZATION; NETWORKS; MARKETS; MODEL;
D O I
10.1080/07362994.2018.1433046
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Since Mao initiated the study of stabilization of ordinary differential equations (ODEs) by stochastic feedback controls based on discrete-time state observations in 2016, no more work on this intriguing topic has been reported. This article investigates how to stabilize a given unstable linear non-autonomous ODE by controller sigma(t)x((t))dB(t), and how to stabilize an unstable nonlinear hybrid SDE by controller G(r((t)))x((t))dB(t), where (t) represents time points of observation with sufficiently small observation interval, B(t) is a Brownian motion and r(t) is the Markov Chain, in the sense of pth moment (0 < p < 1) and almost sure exponential stability.
引用
收藏
页码:561 / 583
页数:23
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