Free-matrix-based time-dependent discontinuous Lyapunov functional for synchronization of delayed neural networks with sampled-data control

This paper is concerned with the synchronization of delayed neural networks via sampled-data control. A new technique, namely, the free-matrix-based time-dependent discontinuous Lyapunov functional approach, is adopted in constructing the Lyapunov functional, which takes advantage of the sampling ch...

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Main Authors: Wang, W., Zeng, H., Teo, Kok Lay
Format: Journal Article
Published: Institute of Physics Publishing Ltd. 2017
Online Access:http://hdl.handle.net/20.500.11937/60636
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author Wang, W.
Zeng, H.
Teo, Kok Lay
author_facet Wang, W.
Zeng, H.
Teo, Kok Lay
author_sort Wang, W.
building Curtin Institutional Repository
collection Online Access
description This paper is concerned with the synchronization of delayed neural networks via sampled-data control. A new technique, namely, the free-matrix-based time-dependent discontinuous Lyapunov functional approach, is adopted in constructing the Lyapunov functional, which takes advantage of the sampling characteristic of sawtooth input delay. Based on this discontinuous Lyapunov functional, some less conservative synchronization criteria are established to ensure that the slave system is synchronous with the master system. The desired sampled-data controller can be obtained through the use of the linear matrix inequality (LMI) technique. Finally, two numerical examples are provided to demonstrate the effectiveness and the improvements of the proposed methods.
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T10:18:42Z
publishDate 2017
publisher Institute of Physics Publishing Ltd.
recordtype eprints
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spelling curtin-20.500.11937-606362018-05-22T01:41:40Z Free-matrix-based time-dependent discontinuous Lyapunov functional for synchronization of delayed neural networks with sampled-data control Wang, W. Zeng, H. Teo, Kok Lay This paper is concerned with the synchronization of delayed neural networks via sampled-data control. A new technique, namely, the free-matrix-based time-dependent discontinuous Lyapunov functional approach, is adopted in constructing the Lyapunov functional, which takes advantage of the sampling characteristic of sawtooth input delay. Based on this discontinuous Lyapunov functional, some less conservative synchronization criteria are established to ensure that the slave system is synchronous with the master system. The desired sampled-data controller can be obtained through the use of the linear matrix inequality (LMI) technique. Finally, two numerical examples are provided to demonstrate the effectiveness and the improvements of the proposed methods. 2017 Journal Article http://hdl.handle.net/20.500.11937/60636 10.1088/1674-1056/26/11/110503 Institute of Physics Publishing Ltd. restricted
spellingShingle Wang, W.
Zeng, H.
Teo, Kok Lay
Free-matrix-based time-dependent discontinuous Lyapunov functional for synchronization of delayed neural networks with sampled-data control
title Free-matrix-based time-dependent discontinuous Lyapunov functional for synchronization of delayed neural networks with sampled-data control
title_full Free-matrix-based time-dependent discontinuous Lyapunov functional for synchronization of delayed neural networks with sampled-data control
title_fullStr Free-matrix-based time-dependent discontinuous Lyapunov functional for synchronization of delayed neural networks with sampled-data control
title_full_unstemmed Free-matrix-based time-dependent discontinuous Lyapunov functional for synchronization of delayed neural networks with sampled-data control
title_short Free-matrix-based time-dependent discontinuous Lyapunov functional for synchronization of delayed neural networks with sampled-data control
title_sort free-matrix-based time-dependent discontinuous lyapunov functional for synchronization of delayed neural networks with sampled-data control
url http://hdl.handle.net/20.500.11937/60636