Exponential stabilization of neutral-type neural networks with interval non-differentiable and distributed time-varying delays

Exponential stabilization of neutral-type neural networks with interval non-differentiable and distributed time-varying delays

In this paper, the problem of exponential stabilization of neutral-type neural networks with various activation functions and interval non-differentiable and distributed timevarying delays is considered. The interval time-varying delay function is not necessary to be differentiable. By constructing...

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Main Authors: Weera,W., Niamsup,P.
Format: Conference or Workshop Item
Published: 2015
Subjects:
Computer Science Applications
Control and Systems Engineering
Software
Online Access:http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84872334160&origin=inward
http://cmuir.cmu.ac.th/handle/6653943832/38670
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-386702015-06-16T07:53:52Z Exponential stabilization of neutral-type neural networks with interval non-differentiable and distributed time-varying delays Weera,W. Niamsup,P. Computer Science Applications Control and Systems Engineering Software In this paper, the problem of exponential stabilization of neutral-type neural networks with various activation functions and interval non-differentiable and distributed timevarying delays is considered. The interval time-varying delay function is not necessary to be differentiable. By constructing a set of improved Lyapunov-Krasovskii functional combined with Leibniz-Newton's formula, the proposed stability criteria are formulated in the form of a linear matrix inequalities. Numerical example illustrates the effectiveness of the results. © 2012 IEEE. 2015-06-16T07:53:52Z 2015-06-16T07:53:52Z 2012-12-01 Conference Paper 2-s2.0-84872334160 10.1109/WCICA.2012.6358080 http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84872334160&origin=inward http://cmuir.cmu.ac.th/handle/6653943832/38670
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Computer Science Applications
Control and Systems Engineering
Software
spellingShingle Computer Science Applications
Control and Systems Engineering
Software
Weera,W.
Niamsup,P.
Exponential stabilization of neutral-type neural networks with interval non-differentiable and distributed time-varying delays
description In this paper, the problem of exponential stabilization of neutral-type neural networks with various activation functions and interval non-differentiable and distributed timevarying delays is considered. The interval time-varying delay function is not necessary to be differentiable. By constructing a set of improved Lyapunov-Krasovskii functional combined with Leibniz-Newton's formula, the proposed stability criteria are formulated in the form of a linear matrix inequalities. Numerical example illustrates the effectiveness of the results. © 2012 IEEE.
format Conference or Workshop Item
author Weera,W.
Niamsup,P.
author_facet Weera,W.
Niamsup,P.
author_sort Weera,W.
title Exponential stabilization of neutral-type neural networks with interval non-differentiable and distributed time-varying delays
title_short Exponential stabilization of neutral-type neural networks with interval non-differentiable and distributed time-varying delays
title_full Exponential stabilization of neutral-type neural networks with interval non-differentiable and distributed time-varying delays
title_fullStr Exponential stabilization of neutral-type neural networks with interval non-differentiable and distributed time-varying delays
title_full_unstemmed Exponential stabilization of neutral-type neural networks with interval non-differentiable and distributed time-varying delays
title_sort exponential stabilization of neutral-type neural networks with interval non-differentiable and distributed time-varying delays
publishDate 2015
url http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84872334160&origin=inward
http://cmuir.cmu.ac.th/handle/6653943832/38670
_version_ 1681421515683266560

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