DocumentCode :
3642799
Title :
Synchronization of delayed chaotic neural networks with stochastic disturbances via periodically intermittent control
Author :
Yan Chen;Xiaomei Zhang;Guiyin Shi;Hongji Tang
Author_Institution :
School of Science, Nantong University, Nantong 226007, China
fYear :
2011
fDate :
5/1/2011 12:00:00 AM
Firstpage :
3882
Lastpage :
3887
Abstract :
This paper deals with the synchronization problem of delayed chaotic neural networks with stochastic disturbances using periodically intermittent control. Lyapunov stability theory and free-weighting matrix method are utilized to establish stochastic synchronization criteria for designing intermittent control law, which guarantees that the synchronization error system is exponentially stable in the mean square. Under the assumption that the control period and control width are fixed and known, the desired intermittent controller is designed in terms of linear matrix inequalities. A numerical example is illustrated to demonstrate the effectiveness of the proposed method.
Keywords :
"Synchronization","Chaotic communication","Artificial neural networks","Control systems","Linear matrix inequalities","Delay effects"
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2011 Chinese
ISSN :
1948-9439
Print_ISBN :
978-1-4244-8737-0
Electronic_ISBN :
1948-9447
Type :
conf
DOI :
10.1109/CCDC.2011.5968899
Filename :
5968899
Link To Document :
بازگشت