Synchronization criteria for coupled Hopfield neural networks with time-varying delays

Title
Synchronization criteria for coupled Hopfield neural networks with time-varying delays
Author(s)
박주현O.M. Kwon[O.M. Kwon]S.M. Lee[S.M. Lee]E.J. Cha[E.J. Cha]M.J. Park[M.J. Park]
Keywords
DEPENDENT ASYMPTOTIC STABILITY; EXPONENTIAL SYNCHRONIZATION; DYNAMICAL NETWORKS; COMPLEX NETWORKS; SYSTEMS; ARRAY
Issue Date
201111
Publisher
IOP PUBLISHING LTD
Citation
CHINESE PHYSICS B, v.20, no.11
Abstract
This paper proposes new delay-dependent synchronization criteria for coupled Hopfield neural networks with time-varying delays. By construction of a suitable Lyapunov-Krasovskii's functional and use of Finsler's lemma, novel synchronization criteria for the networks are established in terms of linear matrix inequalities (LMIs) which can be easily solved by various effective optimization algorithms. Two numerical examples are given to illustrate the effectiveness of the proposed methods.
URI
http://hdl.handle.net/YU.REPOSITORY/24298http://dx.doi.org/10.1088/1674-1056/20/11/110504
ISSN
1674-1056
Appears in Collections:
공과대학 > 전기공학과 > Articles
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE