Volume 9, Issue 5, September 2016, Pages 945 - 956
Existence and p-exponential stability of periodic solution for stochastic shunting inhibitory cellular neural networks with time-varying delays
Authors
Changjin Xu1, *, xcj403@126.com, Maoxin Liao2, maoxinliao@163.com, Yicheng Pang3, ypanggy@outlook.com
1Guizhou Key Laboratory of Economics System Simulation, Guizhou University of Finance and Economics, Guiyang 550004, PR China
2School of Mathematics and Physics, University of South China, Hengyang 421001, PR China
3School of Mathematics and Statistics, Guizhou University of Finance and Economics, Guiyang 550004, PR China
* Corresponding author, Email: xcj403@126.com (C.Xu).
Corresponding Author
Changjin Xuxcj403@126.com
Received 31 October 2014, Accepted 20 June 2016, Available Online 1 September 2016.
- DOI
- 10.1080/18756891.2016.1237192How to use a DOI?
- Keywords
- Stochastic shunting inhibitory cellular neural networks; periodic solution; p-exponential stability; delay
- Abstract
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 new and complementary to previously known studies.
- Copyright
- © 2016. the authors. Co-published by Atlantis Press and Taylor & Francis
- Open Access
- This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).
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TY - JOUR AU - Changjin Xu AU - Maoxin Liao AU - Yicheng Pang PY - 2016 DA - 2016/09/01 TI - Existence and p-exponential stability of periodic solution for stochastic shunting inhibitory cellular neural networks with time-varying delays JO - International Journal of Computational Intelligence Systems SP - 945 EP - 956 VL - 9 IS - 5 SN - 1875-6883 UR - https://doi.org/10.1080/18756891.2016.1237192 DO - 10.1080/18756891.2016.1237192 ID - Xu2016 ER -