On Less Conservative Stability Criteria for Neural Networks with Time-Varying Delays Utilizing Wirtinger-Based Integral Inequality

Title
On Less Conservative Stability Criteria for Neural Networks with Time-Varying Delays Utilizing Wirtinger-Based Integral Inequality
Author(s)
박주현O.M. Kwon[O.M. Kwon]M.J. Park[M.J. Park]S.M. Lee[S.M. Lee]E.J. Cha[E.J. Cha]
Keywords
DEPENDENT EXPONENTIAL STABILITY; GLOBAL ROBUST STABILITY; DISTRIBUTED DELAY; NEUTRAL SYSTEMS; DISCRETE; STABILIZATION; RESET
Issue Date
201406
Publisher
HINDAWI PUBLISHING CORPORATION
Citation
MATHEMATICAL PROBLEMS IN ENGINEERING
Abstract
This paper investigates the problem of stability analysis for neural networks with time-varying delays. By utilizing the Wirtinger-based integral inequality and constructing a suitable augmented Lyapunov-Krasovskii functional, two less conservative delay-dependent criteria to guarantee the asymptotic stability of the concerned networks are derived in terms of linear matrix inequalities (LMIs). Three numerical examples are included to explain the superiority of the proposed methods by comparing maximum delay bounds with the recent results published in other literature.
URI
http://hdl.handle.net/YU.REPOSITORY/31915http://dx.doi.org/10.1155/2014/859736
ISSN
1024-123X
Appears in Collections:
공과대학 > 전기공학과 > Articles
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