Exponential Stabilization of Markov Jump Systems with Mode-Dependent Mixed Time-Varying Delays and Unknown Transition Rates

被引:13
|
作者
Cui, Kaiyan [1 ]
Zhu, Jianfeng [2 ]
Li, Chenlong [1 ]
机构
[1] Tianjin Univ, Sch Math, Tianjin 300354, Peoples R China
[2] Yangtze Normal Univ, Sch Management, Chongqing 408100, Peoples R China
基金
中国国家自然科学基金;
关键词
Markov jump systems; Unknown transition rates; Mixed time-varying delays; Exponential stability; H-INFINITY CONTROL; STOCHASTIC-SYSTEMS; STABILITY ANALYSIS; ROBUST STABILITY; NEURAL-NETWORKS; LINEAR-SYSTEMS; SYNCHRONIZATION; DISCRETE;
D O I
10.1007/s00034-019-01085-2
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper investigates the problem of exponential stability in mean square sense for stochastic Markov jump systems with mixed time-varying delays and partly unknown transition rates. By employing a class of appropriate stochastic Lyapunov functionals, the analysis process of stability for stochastic Markov jump systems can be effectively carried out. Based on the linear matrix inequalities technique, the mean square exponential stability criteria are presented for stochastic Markov jump systems with partly unknown transition rates. Furthermore, by expanding this case to uncertain Markov jump systems, we derive the sufficient conditions for guaranteeing the stability of uncertain Markov jump systems. A numerical example is presented to illustrate the effectiveness of the proposed results.
引用
收藏
页码:4526 / 4547
页数:22
相关论文
共 50 条