DocumentCode
1177295
Title
Synchronization of coupled connected neural networks with delays
Author
Lu, Wenlian ; Chen, Tianping
Author_Institution
Lab. of Nonlinear Sci., Fudan Univ., Shanghai, China
Volume
51
Issue
12
fYear
2004
Firstpage
2491
Lastpage
2503
Abstract
We investigate synchronization of an array of linearly coupled identical connected neural networks with delays; Variational method is used to investigate local synchronization. Global exponential stability is studied, too. We do not assume that the coupling matrix A is symmetric or irreducible. The linear matrix inequality approach is used to judge synchronization with global convergence property.
Keywords
asymptotic stability; chaos; coupled circuits; delays; linear matrix inequalities; neural nets; synchronisation; coupling matrix; dynamical systems; global convergence property; global exponential stability; linear matrix inequality; linearly coupled connected neural networks; local synchronization; variational method; Biological neural networks; Chaotic communication; Convergence; Coupling circuits; Linear matrix inequalities; Neural networks; Neurons; Recurrent neural networks; Stability analysis; Symmetric matrices; 65; Chaos; delays; dynamical systems; neural network; synchronization;
fLanguage
English
Journal_Title
Circuits and Systems I: Regular Papers, IEEE Transactions on
Publisher
ieee
ISSN
1549-8328
Type
jour
DOI
10.1109/TCSI.2004.838308
Filename
1364119
Link To Document