Finite-time annular domain stability and stabilization of Ito stochastic systems with Wiener noise and Poisson jumps-differential Gronwall inequality approach

被引:0
|
作者
Yan, Zhiguo [1 ]
Zhang, Min [1 ]
Chang, Gaizhen [2 ]
Lv, Hui [1 ]
Park, Ju H. [3 ]
机构
[1] Qilu Univ Technol, Shandong Acad Sci, Sch Elect Engn & Automat, Jinan 250353, Peoples R China
[2] Qilu Univ Technol, Shandong Acad Sci, Sch Math & Stat, Jinan 250353, Peoples R China
[3] Yeungnam Univ, Dept Elect Engn, 280 Daehak Ro, Kyongsan 38541, South Korea
基金
新加坡国家研究基金会; 中国博士后科学基金; 中国国家自然科学基金;
关键词
Stochastic systems; Finite-time; Annular domain stability; Wiener noises; Poisson jumps;
D O I
暂无
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper investigates the finite-time annular domain stability and stabilization of stochastic systems, described by an Ito-type differential equation, in which the systems are driven by both Wiener noises and Poisson jumps. First, a new inequality called reverse differential Gronwall inequality is established to achieve less conservative conditions for finite-time annular domain stability. Second, some sufficient conditions are derived to guarantee that the closed-loop system is finite-time annular domain stable by constructing a state feedback controller and an observer-based controller, respectively. All related conditions can be expressed in terms of matrix inequalities and corresponding algorithms are given. Finally, two numerical examples are presented to verify the validity of the derived results, and the effect of Poisson jump intensity on the boundary of the system states is illustrated. (c) 2021 Elsevier Inc. All rights reserved.
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页数:18
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