DocumentCode
3135520
Title
pth moment exponential synchronization of stochastic Cohen-Grossberg neural networks with continuously distributed delays
Author
Ding, Nan ; Xu, Shengjie
Author_Institution
Coll. of Inf. Sci. & Eng., Ocean Univ. of China, Qingdao, China
Volume
2
fYear
2011
fDate
25-28 July 2011
Firstpage
648
Lastpage
653
Abstract
In this paper, pth moment exponential synchronization of stochastic Cohen-Grossberg neural networks with continuously distributed delays is considered. By applying the method of variation parameter, inequality techniques and stochastic analysis, some sufficient conditions to ensure pth moment exponential synchronization of stochastic Cohen-Grossberg neural networks with continuously distributed delays are obtained. These results generalize some previous known results. Furthermore, an examples are given to illustrate the efficiency of our results.
Keywords
delays; distributed parameter systems; neurocontrollers; stochastic systems; continuously distributed delays; inequality techniques; pth moment exponential synchronization; stochastic Cohen-Grossberg neural networks; stochastic analysis; variation parameter; Biological neural networks; Chaotic communication; Delay; Stability analysis; Synchronization;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Information Processing (ICICIP), 2011 2nd International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4577-0813-8
Type
conf
DOI
10.1109/ICICIP.2011.6008330
Filename
6008330
Link To Document