DocumentCode
1797522
Title
Impulsive synchronization of coupled switched neural networks with impulsive time window
Author
Xin Wang ; Chuandong Li ; Tingwen Huang ; Xiaofeng Liao
Author_Institution
Dept. Elct. & Inf. Eng., Southwest Univ., Chongqing, China
fYear
2014
fDate
6-11 July 2014
Firstpage
2624
Lastpage
2628
Abstract
This paper formulates and studies a more general model of coupled switched neural networks with impulsive time window. The main feature of impulsive time window is that impulses can exist the stochastic instants of the whole switching interval not the switching instants and a pre-specified instants. Moreover, the impulsive numbers of every subsystems is not the same. Using switching Lyapunov functions and a generalized Halany inequality, some general criteria which characterize the impulses and switching effects in aggregated form, for asymptotically synchronization and exponential synchronization of this general model are established.
Keywords
Lyapunov methods; neural nets; stochastic systems; synchronisation; Lyapunov functions; asymptotically synchronization; coupled switched neural networks; exponential synchronization; generalized Halany inequality; impulsive numbers; impulsive synchronization; impulsive time window; stochastic instants; switching effects; switching interval; Chaotic communication; Complex networks; Couplings; Neural networks; Switches; Synchronization;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks (IJCNN), 2014 International Joint Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4799-6627-1
Type
conf
DOI
10.1109/IJCNN.2014.6889493
Filename
6889493
Link To Document