Synchronization criteria for coupled neural networks with interval time-varying delays and leakage delay

Title
Synchronization criteria for coupled neural networks with interval time-varying delays and leakage delay
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
NEUTRAL-TYPE; EXPONENTIAL SYNCHRONIZATION; COMPLEX NETWORKS; STABILITY; SYSTEMS; INEQUALITY; DYNAMICS; TERM
Issue Date
201202
Publisher
ELSEVIER SCIENCE INC
Citation
APPLIED MATHEMATICS AND COMPUTATION, v.218, no.12, pp.6762 - 6775
Abstract
This paper considers the synchronization problem for coupled neural networks with interval time-varying delays and leakage delay. By construction of a suitable Lyapunov-Krasovskii's functional and utilization of Finsler's lemma, novel delay-dependent criteria for the synchronization of 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. (C) 2011 Elsevier Inc. All rights reserved.
URI
http://hdl.handle.net/YU.REPOSITORY/29848http://dx.doi.org/10.1016/j.amc.2011.12.043
ISSN
0096-3003
Appears in Collections:
공과대학 > 전기공학과 > Articles
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