Stabilization of stochastic coupled systems with Markovian switching via feedback control based on discrete-time state observations

被引:39
|
作者
Wu, Yongbao [1 ]
Yan, Shihan [2 ]
Fan, Meng [2 ]
Li, Wenxue [1 ]
机构
[1] Harbin Inst Technol Weihai, Dept Math, Weihai 264209, Peoples R China
[2] Northeast Normal Univ, Sch Math & Stat, Changchun 130024, Jilin, Peoples R China
基金
中国博士后科学基金;
关键词
discrete-time state; feedback control; Markovian switching; stabilization; stochastic coupled systems; GRAPH-THEORETIC APPROACH; DIFFERENTIAL-EQUATIONS; NEURAL-NETWORKS; EXPONENTIAL STABILITY; NONLINEAR OSCILLATORS; HYBRID SYSTEMS; DELAY SYSTEMS; MIXED DELAYS; OPTIMIZATION; ADAPTATION;
D O I
10.1002/rnc.3867
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 study investigates the stabilization issue of stochastic coupled systems with Markovian switching via feedback control. A state feedback controller based on the discrete-time observations is applied for the stabilization purpose. By making use of the graph theory and the Lyapunov method, we establish both Lyapunov- and coefficient-type sufficient criteria to guarantee the stabilization in the sense of H stability, and then, we further develop the mean-square asymptotical stability. In particular, the upper bound of the duration between 2 consecutive state observations is well formulated. Applications to a concrete stabilization problem of stochastic coupled oscillators with Markovian switching and some numerical analyses are presented to illustrate and to demonstrate the easy verifiability, effectivity, and efficiency of our theoretical findings.
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页码:247 / 265
页数:19
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