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Exponential stability of stochastic cellular neural networks with mixed delays.

Authors :
Li, Xiaofei
Ding, Deng
Sang, Di
Source :
Communications in Statistics: Theory & Methods; 2018, Vol. 47 Issue 19, p4881-4894, 14p
Publication Year :
2018

Abstract

In this paper, almost sure exponential stability and pth moment exponential stability of stochastic cellular neural networks with mixed delays are investigated. Employing the methods of stochastic analysis, the Lyapunov’s method, and useful inequality techniques, a sufficient condition ensuring the almost sure exponential stability and pth moment exponential stability is obtained. Two examples are given to illustrate this sufficient condition. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03610926
Volume :
47
Issue :
19
Database :
Complementary Index
Journal :
Communications in Statistics: Theory & Methods
Publication Type :
Academic Journal
Accession number :
132084069
Full Text :
https://doi.org/10.1080/03610926.2018.1459710