Razumikhin-type theorem for stochastic functional differential equations with Levy noise and Markov switching

被引:184
作者
Zhu, Quanxin [1 ,2 ,3 ]
机构
[1] Nanjing Normal Univ, Sch Math Sci, Nanjing, Jiangsu, Peoples R China
[2] Nanjing Normal Univ, Inst Finance & Stat, Nanjing, Jiangsu, Peoples R China
[3] Univ Bielefeld, Dept Math, Bielefeld, Germany
基金
中国国家自然科学基金;
关键词
Stochastic functional differential equation; Razumikhin-type theorem; pth moment exponential stability; Levy noise; Markov switching; COUPLED NEURAL-NETWORKS; EXPONENTIAL STABILITY; PTH MOMENT; ASYMPTOTIC STABILITY; SYNCHRONIZATION; PROBABILITIES; CRITERIA;
D O I
10.1080/00207179.2016.1219069
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 paper is devoted to study the well-known Razumikhin-type theorem for a class of stochastic functional differential equations with Levy noise and Markov switching. In comparison to the standard Gaussian noise, Levy noise and Markov switching make the analysis more difficult owing to the discontinuity of its sample paths. In this paper, we attempt to overcome this difficulty. By using the Razumikhin method and Lyapunov functions, we obtain several Razumikhin-type theorems to prove the pth moment exponential stability of the suggested system. Based on these results, we further discuss the pth moment exponential stability of stochastic delay differential equations with Levy noise and Markov switching. In particular, the results obtained in this paper improve and generalise some previous works given in the literature. Finally, an example is provided to illustrate the effectiveness of the theoretical results.
引用
收藏
页码:1703 / 1712
页数:10
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