Exponential synchronization for delayed recurrent neural networks via periodically intermittent control

In this paper, the exponential synchronization for a class of delayed recurrent neural networks is investigated by virtue of intermittent control schemes. Based on p-norm and ∞-norm, respectively, several new and useful synchronization criteria are derived by applying Lyapunov functional theory, mat...

Full description

Saved in:
Bibliographic Details
Published in:Neurocomputing (Amsterdam) 2013-08, Vol.113, p.122-129
Main Authors: Xing, Jiuju, Jiang, Haijun, Hu, Cheng
Format: Article
Language:English
Subjects:
Applied sciences
Artificial intelligence
Computer science
control theory
systems
Connectionism. Neural networks
Exact sciences and technology
Exponential synchronization
Nonlinear dynamics and nonlinear dynamical systems
Periodically intermittent control
Physics
Recurrent neural network
Statistical physics, thermodynamics, and nonlinear dynamical systems
Synchronization
coupled oscillators
Time-varying delay
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper, the exponential synchronization for a class of delayed recurrent neural networks is investigated by virtue of intermittent control schemes. Based on p-norm and ∞-norm, respectively, several new and useful synchronization criteria are derived by applying Lyapunov functional theory, mathematical induction and inequality technique. Particularly, some feasible regions of control parameters for each neuron are derived for the realization of exponential synchronization, which provides great convenience to the applications of the theoretical results. Finally, some numerical simulations are given to demonstrate the effectiveness of the proposed control methods.
ISSN:0925-2312
1872-8286
DOI:10.1016/j.neucom.2013.01.041