scholarly journals Exponential Synchronization of Reaction-Diffusion Neural Networks with time Delay in the Leakage Term Based on Periodically Intermittent Control

2016 ◽  
Vol 05 (02) ◽  
pp. 298-309
Author(s):  
丽丽 王
Keyword(s):  
Neural Networks ◽  
Time Delay ◽  
Reaction Diffusion ◽  
Exponential Synchronization ◽  
Intermittent Control ◽  
Leakage Term ◽  
Periodically Intermittent Control

Exponential synchronization for reaction-diffusion neural networks with mixed time-varying delays via periodically intermittent control

2014 ◽  
Vol 19 (1) ◽  
pp. 1-25 ◽  
Author(s):  
Qintao Gan ◽  
Hong Zhang ◽  
Jun Dong
Keyword(s):  
Neural Networks ◽  
Stochastic Analysis ◽  
Reaction Diffusion ◽  
Exponential Synchronization ◽  
Intermittent Control ◽  
Time Varying ◽  
Periodically Intermittent Control ◽  
Stochastic Disturbance ◽  
Synchronization Problem

This paper deals with the exponential synchronization problem for reaction-diffusion neural networks with mixed time-varying delays and stochastic disturbance. By using stochastic analysis approaches and constructing a novel Lyapunov–Krasovskii functional, a periodically intermittent controller is first proposed to guarantee the exponential synchronization of reaction-diffusion neural networks with mixed time-varying delays and stochastic disturbance in terms of p-norm. The obtained synchronization results are easy to check and improve upon the existing ones. Particularly, the traditional assumptions on control width and time-varying delays are removed in this paper. This paper also presents two illustrative examples and uses simulated results of these examples to show the feasibility and effectiveness of the proposed scheme.

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