Robust Stabilization of Stochastic Markovian Jump Systems with Distributed Delays

被引:0
|
作者
Chen, Guilei [1 ]
Zhang, Zhenwei [2 ]
Li, Chao [2 ]
Qiao, Dianju [3 ]
Sun, Bo [3 ]
机构
[1] Shandong Univ Sci & Technol, Dept Fundamental Courses, Tai An 271000, Shandong, Peoples R China
[2] Shandong Univ Sci & Technol, Coll Elect & Informat Engn, Qingdao 266590, Shandong, Peoples R China
[3] Shandong Univ Sci & Technol, Coll Intelligent Equipment, Tai An 271000, Shandong, Peoples R China
基金
中国国家自然科学基金;
关键词
H-INFINITY CONTROL; NEURAL-NETWORKS; TIME; STABILITY; DISCRETE; SYNCHRONIZATION;
D O I
10.1155/2021/6649629
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
This paper addresses the robust stabilization problem for a class of stochastic Markovian jump systems with distributed delays. The systems under consideration involve Brownian motion, Markov chains, distributed delays, and parameter uncertainties. By an appropriate Lyapunov-Krasovskii functional, the novel delay-dependent stabilization criterion for the stochastic Markovian jump systems is derived in terms of linear matrix inequalities. When given linear matrix inequalities are feasible, an explicit expression of the desired state feedback controller is given. The designed controller, based on the obtained criterion, ensures asymptotically stable in the mean square sense of the resulting closed-loop system. The convenience of the design is greatly enhanced due to the existence of an adjustable parameter in the controller. Finally, a numerical example is exploited to demonstrate the effectiveness of the developed theory.
引用
收藏
页数:8
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