Effects of leakage time-varying delays in Markovian jump neural networks with impulse control

Title
Effects of leakage time-varying delays in Markovian jump neural networks with impulse control
Author(s)
박주현R. Rakkiyappan[R. Rakkiyappan]A. Chandrasekar[A. Chandrasekar]S. Lakshmanan[S. Lakshmanan]정호열
Keywords
DEPENDENT EXPONENTIAL STABILITY; NEUTRAL-TYPE; DISTRIBUTED DELAYS; ASYMPTOTIC STABILITY; TRANSITION RATES; PARAMETERS; SYNCHRONIZATION; DISCRETE; CRITERIA; SYSTEMS
Issue Date
201312
Publisher
ELSEVIER SCIENCE BV
Citation
NEUROCOMPUTING, v.121, pp.365 - 378
Abstract
In this paper, the stability analysis problem is investigated for delayed neural networks with mixed time-varying delays, impulsive control and Markovian jumping parameters. The mixed time-varying delays include leakage, discrete and distributed time-varying delays. Sufficient conditions for the global exponential stability in the mean square are derived by using Lyapunov-Krasovskii functional having triple integral terms and model transformation technique. The stability criterion that depends on the upper bounds of the leakage time-varying delay and its derivative is given in terms of linear matrix inequalities (LMIs), which can be efficiently solved via standard numerical softwares. Finally, three numerical examples and simulations are given to demonstrate the usefulness and effectiveness of the presented results. (C) 2013 Elsevier B.V. All rights reserved.
URI
http://hdl.handle.net/YU.REPOSITORY/28224http://dx.doi.org/10.1016/j.neucom.2013.05.018
ISSN
0925-2312
Appears in Collections:
공과대학 > 전기공학과 > Articles
공과대학 > 모바일정보통신공학과 > 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