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
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;
Conference_Titel :
Neural Networks (IJCNN), 2014 International Joint Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-6627-1
DOI :
10.1109/IJCNN.2014.6889493