Exponential synchronization of fuzzy cellular neural networks with mixed delays and general boundary conditions

2012 ◽  
Vol 17 (2) ◽  
pp. 1003-1011 ◽  
Author(s):  
Ping Yan ◽  
Teng Lv
Keyword(s):  
Neural Networks ◽  
Boundary Conditions ◽  
Cellular Neural Networks ◽  
Exponential Synchronization ◽  
General Boundary ◽  
Mixed Delays ◽  
Fuzzy Cellular Neural Networks ◽  
General Boundary Conditions

scholarly journals Synchronization of Chaotic Delayed Fuzzy Neural Networks under Impulsive and Stochastic Perturbations

2013 ◽  
Vol 2013 ◽  
pp. 1-14 ◽  
Author(s):  
Bing Li ◽  
Qiankun Song
Keyword(s):  
Neural Networks ◽  
Cellular Neural Networks ◽  
Fuzzy Neural Networks ◽  
Itô’S Formula ◽  
Mixed Delays ◽  
Fuzzy Cellular Neural Networks ◽  
Stochastic Perturbations ◽  
Synchronization Problem ◽  
Ito’S Formula ◽  
Fuzzy Neural

The synchronization problem of chaotic fuzzy cellular neural networks with mixed delays is investigated. By an impulsive integrodifferential inequality and the Itô's formula, some sufficient criteria to synchronize the networks under both impulsive and stochastic perturbations are obtained. The example and simulations are given to demonstrate the efficiency and advantages of the proposed results.

Sign in / Sign up

Export Citation Format

Share Document