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Existence and p-exponential stability of periodic solution for stochastic shunting inhibitory cellular neural networks with time-varying delays

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成果类型:
期刊论文
作者:
Xu, Changjin*;Liao, Maoxin;Pang, Yicheng
通讯作者:
Xu, Changjin
作者机构:
[Xu, Changjin] Guizhou Univ Finance & Econ, Guizhou Key Lab Econ Syst Simulat, Guiyang 550004, Peoples R China.
[Liao, Maoxin] Univ South China, Sch Math & Phys, Hengyang 421001, Peoples R China.
[Pang, Yicheng] Guizhou Univ Finance & Econ, Sch Math & Stat, Guiyang 550004, Peoples R China.
通讯机构:
[Xu, Changjin] G
Guizhou Univ Finance & Econ, Guizhou Key Lab Econ Syst Simulat, Guiyang 550004, Peoples R China.
语种:
英文
关键词:
Stochastic shunting inhibitory cellular neural networks;periodic solution;p-exponential stability;delay
期刊:
International Journal of Computational Intelligence Systems
ISSN:
1875-6891
年:
2016
卷:
9
期:
5
页码:
945-956
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61673008, 11261010, 11526063]; Natural Science and Technology Foundation of Guizhou Province [J[2015]2025, J[2015]2026]; Special Major Science and Technology of Department of Education of Guizhou Province [[2012]011]; Natural Science Foundation of the Education Department of Guizhou Province [KY[2015]482]
机构署名:
本校为其他机构
院系归属:
数理学院
摘要:
In this paper, we investigate a class of stochastic shunting inhibitory cellular neural networks with time-varying delays. Applying integral inequality, some sufficient conditions on the existence and p-exponential stability of periodic solutions for stochastic shunting inhibitory cellular neural networks with time-varying delays are established. An example is presented to illustrate our main theoretical findings. Our results are ...

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