Graph Theory-Based Approach for Stability Analysis of Stochastic Coupled Systems With Levy Noise on Networks

被引:41
|
作者
Zhang, Chunmei [1 ,2 ]
Li, Wenxue [1 ]
Wang, Ke [1 ,3 ]
机构
[1] Harbin Inst Technol, Dept Math, Harbin 150001, Peoples R China
[2] Univ Illinois, Dept Math, Champaign, IL 61801 USA
[3] NE Normal Univ, Sch Math & Stat, Changchun 130024, Jilin, Peoples R China
基金
中国国家自然科学基金;
关键词
Levy noise; networks; stability; stochastic coupled systems; GLOBAL STABILITY; NEURAL-NETWORKS; POPULATION-DYNAMICS; DELAYS; TRANSMISSION; OSCILLATORS; JUMPS; MODEL;
D O I
10.1109/TNNLS.2014.2352217
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, a novel class of stochastic coupled systems with Levy noise on networks (SCSLNNs) is presented. Both white noise and Levy noise are considered in the networks. By exploiting graph theory and Lyapunov stability theory, criteria ensuring pth moment exponential stability and stability in probability of these SCSLNNs are established, respectively. These principles are closely related to the topology of the network and the perturbation intensity of white noise and Levy noise. Moreover, to verify the theoretical results, stochastic coupled oscillators with Levy noise on a network and stochastic Volterra predator-prey system with Levy noise are performed. Finally, a numerical example about oscillators' network is provided to illustrate the feasibility of our analytical results.
引用
收藏
页码:1698 / 1709
页数:12
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