A new augmented Lyapunov-Krasovskii functional approach to exponential passivity for neural networks with time-varying delays

Title
A new augmented Lyapunov-Krasovskii functional approach to exponential passivity for 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]
Keywords
DEPENDENT STABILITY-CRITERIA; ROBUST STABILITY; DYNAMICAL-SYSTEMS; DISCRETE
Issue Date
201108
Publisher
ELSEVIER SCIENCE INC
Citation
APPLIED MATHEMATICS AND COMPUTATION, v.217, no.24, pp.10231 - 10238
Abstract
In this paper, the problem of exponential passivity analysis for uncertain neural networks with time-varying delays is considered. By constructing new augmented Lyapunov-Krasovskii's functionals and some novel analysis techniques, improved delay-dependent criteria for checking the exponential passivity of the neural networks are established. The proposed criteria are represented in terms of linear matrix inequalities (LMIs) which can be easily solved by various convex optimization algorithms. A numerical example is included to show the superiority of our results. (C) 2011 Elsevier Inc. All rights reserved.
URI
http://hdl.handle.net/YU.REPOSITORY/24759http://dx.doi.org/10.1016/j.amc.2011.05.021
ISSN
0096-3003
Appears in Collections:
공과대학 > 전기공학과 > Articles
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