Discontinuous Lyapunov functional approach to synchronization of time-delay neural networks using sampled-data

Title
Discontinuous Lyapunov functional approach to synchronization of time-delay neural networks using sampled-data
Author(s)
박주현오쟁광H. Su[H. Su]J. Chu[J. Chu]
Keywords
EXPONENTIAL STABILITY ANALYSIS; H-INFINITY SYNCHRONIZATION; VARYING DELAY; CHAOTIC SYSTEMS; LURE SYSTEMS; UNKNOWN-PARAMETERS; FEEDBACK-CONTROL; STATE ESTIMATION; DISCRETE; CRITERIA
Issue Date
201209
Publisher
SPRINGER
Citation
NONLINEAR DYNAMICS, v.69, no.4, pp.2021 - 2030
Abstract
This paper investigates the synchronization problem of neural networks with time-varying delay under sampled-data control in the presence of a constant input delay. Based on the extended Wirtinger inequality, a discontinuous Lyapunov functional is introduced, which makes full use of the sawtooth structure characteristic of sampling input delay. A simple and less conservative synchronization criterion is given to ensure the master systems synchronize with the slave systems by using the linear matrix inequality (LMI) approach. The design method of the desired sampled-data controller is also proposed. Finally, two numerical examples are given to illustrate the effectiveness of the proposed methods.
URI
http://hdl.handle.net/YU.REPOSITORY/27350http://dx.doi.org/10.1007/s11071-012-0404-4
ISSN
0924-090X
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