Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)

Robust Mean Square Exponential Stability of Stochastic Interval Cellular Neural Networks with Time-delays

Authors
Zhi chao Liu, Jin fang Han
Corresponding Author
Zhi chao Liu
Available Online August 2013.
DOI
https://doi.org/10.2991/icacsei.2013.69How to use a DOI?
Keywords
Robust Mean Square, Neural Networks, Time-delays.
Abstract
The problem of robust mean-square exponential stability for a class of stochastic interval cellular neural networks with time-delays is investigated. Firstly, a kind of equivalent description of this stochastic interval delayed cellular neural networks is presented. Then by using the formula, Razumikhin theorems, Lyapunov function and norm inequalities, several simple sufficient conditions are obtained which guarantee the robust mean-square exponential stability of the stochastic interval cellular neural networks. and some recent results reported in the literatures are generalized.
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Proceedings
2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
978-90-78677-74-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/icacsei.2013.69How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zhi chao Liu
AU  - Jin fang Han
PY  - 2013/08
DA  - 2013/08
TI  - Robust Mean Square Exponential Stability of Stochastic Interval Cellular Neural Networks with Time-delays
BT  - 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icacsei.2013.69
DO  - https://doi.org/10.2991/icacsei.2013.69
ID  - Liu2013/08
ER  -