期刊论文

Yang, Jun(yumoym@163.com)

英文

Engineering Letters

1816-093X

2019

27

4

855-859

Manuscript received May 21, 2019; revised August 8, 2019. This work is supported by NSFC under grant no. U1604157 and science and technology project of Henan province (172102210163). Jun Yang is with School of Mathematics and Statistics, Anyang Normal University, Anyang 455000, China. (e-mail: yumoym@163.com) Anding Dai is with School of Mathematics and Computer Science, Hunan City university, Yiyang 413000, China. (e-mail: daianding41@163.com) Chao Wei is with School of Mathematics and Statistics, Anyang Normal University, Anyang 455000, China. (e-mail: chaowei0806@aliyun.com) Jing Zhao, Peifeng Li, Xiaomei Gao and Mingmei Zhang are with School of Mathematics and Statistics, Anyang Normal University, Anyang 455000, China. * corresponding author

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The problem of exponential synchronization is considered for delayed neural networks with Lévy noise and Markovian switching. By the technique of stochastic analysis, sufficient conditions are proposed to guarantee the exponential synchronization of master system and slave system. Via M-matrix approach, the control gain can be obtained from the solution of some linear equations and the Lyapunov exponent of the system is derived as well. A numerical example is presented to verify the effectiveness of our result. © 2019, ...