Partial stability analysis of linear time-varying perturbed stochastic systems via a refined integral inequality

被引:0
|
作者
Ezzine, Faten [1 ]
机构
[1] Univ Sfax, Fac Sci Sfax, Dept Math, Sfax, Tunisia
关键词
Linear time-varying systems; Brownian motion; stochastic systems; Gamidov inequalities; nontrivial solution; partial practical stability;
D O I
10.1080/00207179.2023.2297076
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The Lyapunov approach is one of the most effective and efficient means of studying the partial stability of stochastic systems. A number of authors have analysed the partial practical stability of stochastic differential equations using Lyapunov techniques. Nevertheless, no results are concerned with the partial stability of stochastic systems based on the knowledge of the solution of the system explicitly. This paper has been concerned with the problem of partial practical stability for linear time-varying stochastic perturbed systems. Necessary and sufficient conditions for partial practical uniform exponential stability are given based on generalised Gronwall inequalities, in particular of Gamidov's type. An example is developed to illustrate the obtained results.
引用
收藏
页码:2735 / 2744
页数:10
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