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
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;
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2011 2nd International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-0813-8
DOI :
10.1109/ICICIP.2011.6008330
