Published August 15, 2009 | Version v1
Journal article

Delay-range-dependent exponential H∞ synchronization of a class of delayed neural networks

  • 1. Centre for Industrial Mathematics, Faculty of Mathematics and Computer Science, University of Bremen, D-28359 Bremen (Germany)

Description

This article aims to present a multiple delayed state-feedback control design for exponential H∞ synchronization problem of a class of delayed neural networks with multiple time-varying discrete delays. On the basis of the drive-response concept and by introducing a descriptor technique and using Lyapunov-Krasovskii functional, new delay-range-dependent sufficient conditions for exponential H∞ synchronization of the drive-response structure of neural networks are driven in terms of linear matrix inequalities (LMIs). The explicit expression of the controller gain matrices are parameterized based on the solvability conditions such that the drive system and the response system can be exponentially synchronized. A numerical example is included to illustrate the applicability of the proposed design method.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.chaos.2008.04.051

Additional details

Identifiers

DOI
10.1016/j.chaos.2008.04.051;
PII
S0960-0779(08)00229-4;

Publishing Information

Journal Title
Chaos, Solitons and Fractals
Journal Volume
41
Journal Issue
3
Journal Page Range
p. 1125-1135
ISSN
0960-0779

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
41014429
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING;
Descriptors DEI
CONTROL THEORY; FEEDBACK; LYAPUNOV METHOD; MATRICES; NEURAL NETWORKS; SYNCHRONIZATION
Descriptors DEC
CALCULATION METHODS

Optional Information

Copyright
Copyright (c) 2008 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.