Delay-range-dependent exponential H∞ synchronization of a class of delayed neural networks
Creators
- 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.2008.04.051Additional 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.