International Journal of Computational Intelligence Systems

Volume 3, Issue 1, April 2010, Pages 96 - 102

Exponential stability analysis for delayed stochastic Cohen-Grossberg neural network

Authors
Guanjun Wang, Jinling Liang
Corresponding Author
Guanjun Wang
Received 24 November 2008, Accepted 1 December 2009, Available Online 1 April 2010.
DOI
https://doi.org/10.2991/ijcis.2010.3.1.9How to use a DOI?
Keywords
Exponential stability, Cohen-Grossberg neural networks, Lyapunov method, Razumikhin-type theorem, Brownian motion
Abstract
In this paper, the exponential stability problems are addressed for a class of delayed Cohen-Grossberg neural networks which are also perturbed by some stochastic noises. By employing the Lyapunov method, stochastic analysis and some inequality techniques, sufficient conditions are acquired for checking the pth(p > 1) and the 1st moment exponential stability of the network. Finally, One example is given to show the effectiveness of the proposed results.
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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
3 - 1
Pages
96 - 102
Publication Date
2010/04/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.2991/ijcis.2010.3.1.9How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Guanjun Wang
AU  - Jinling Liang
PY  - 2010
DA  - 2010/04/01
TI  - Exponential stability analysis for delayed stochastic Cohen-Grossberg neural network
JO  - International Journal of Computational Intelligence Systems
SP  - 96
EP  - 102
VL  - 3
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2010.3.1.9
DO  - https://doi.org/10.2991/ijcis.2010.3.1.9
ID  - Wang2010
ER  -