Less Conservative Stability Criteria for Neutral Type Neural Networks with Mixed Time-Varying Delays

This paper investigates the problem of dependent stability criteria for neutral type neural networks with mixed time-varying delays. Firstly, some new delay-dependent stability results are obtained by employing the more general partitioning approach and generalizing the famous Jensen inequality. Sec...

Full description

Saved in:
Bibliographic Details
Main Authors: Kaibo Shi, Hong Zhu, Shouming Zhong, Yong Zeng, Yuping Zhang, Li Liang
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2013/450175
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832561043657719808
author Kaibo Shi
Hong Zhu
Shouming Zhong
Yong Zeng
Yuping Zhang
Li Liang
author_facet Kaibo Shi
Hong Zhu
Shouming Zhong
Yong Zeng
Yuping Zhang
Li Liang
author_sort Kaibo Shi
collection DOAJ
description This paper investigates the problem of dependent stability criteria for neutral type neural networks with mixed time-varying delays. Firstly, some new delay-dependent stability results are obtained by employing the more general partitioning approach and generalizing the famous Jensen inequality. Secondly, based on a new type of Lyapunov-Krasovskii functional with the cross terms of variables, less conservative stability criteria are proposed in terms of linear matrix inequalities (LMIs). Furthermore, it is the first time that the idea of second-order convex combination and the property of quadratic convex function applied to the derivation of neutral type neural networks play an important role in reducing the conservatism of the paper. Finally, four numerical examples are given to show the effectiveness and the advantage of the proposed method.
format Article
id doaj-art-d2c45dd687b849a2bb9978a837fd2e26
institution Kabale University
issn 1110-757X
1687-0042
language English
publishDate 2013-01-01
publisher Wiley
record_format Article
series Journal of Applied Mathematics
spelling doaj-art-d2c45dd687b849a2bb9978a837fd2e262025-02-03T01:26:08ZengWileyJournal of Applied Mathematics1110-757X1687-00422013-01-01201310.1155/2013/450175450175Less Conservative Stability Criteria for Neutral Type Neural Networks with Mixed Time-Varying DelaysKaibo Shi0Hong Zhu1Shouming Zhong2Yong Zeng3Yuping Zhang4Li Liang5School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaSchool of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaSchool of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu 611731, ChinaSchool of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaSchool of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaCollege of Information Sciences and Technology, Hainan University, Haikou 570228, ChinaThis paper investigates the problem of dependent stability criteria for neutral type neural networks with mixed time-varying delays. Firstly, some new delay-dependent stability results are obtained by employing the more general partitioning approach and generalizing the famous Jensen inequality. Secondly, based on a new type of Lyapunov-Krasovskii functional with the cross terms of variables, less conservative stability criteria are proposed in terms of linear matrix inequalities (LMIs). Furthermore, it is the first time that the idea of second-order convex combination and the property of quadratic convex function applied to the derivation of neutral type neural networks play an important role in reducing the conservatism of the paper. Finally, four numerical examples are given to show the effectiveness and the advantage of the proposed method.http://dx.doi.org/10.1155/2013/450175
spellingShingle Kaibo Shi
Hong Zhu
Shouming Zhong
Yong Zeng
Yuping Zhang
Li Liang
Less Conservative Stability Criteria for Neutral Type Neural Networks with Mixed Time-Varying Delays
Journal of Applied Mathematics
title Less Conservative Stability Criteria for Neutral Type Neural Networks with Mixed Time-Varying Delays
title_full Less Conservative Stability Criteria for Neutral Type Neural Networks with Mixed Time-Varying Delays
title_fullStr Less Conservative Stability Criteria for Neutral Type Neural Networks with Mixed Time-Varying Delays
title_full_unstemmed Less Conservative Stability Criteria for Neutral Type Neural Networks with Mixed Time-Varying Delays
title_short Less Conservative Stability Criteria for Neutral Type Neural Networks with Mixed Time-Varying Delays
title_sort less conservative stability criteria for neutral type neural networks with mixed time varying delays
url http://dx.doi.org/10.1155/2013/450175
work_keys_str_mv AT kaiboshi lessconservativestabilitycriteriaforneutraltypeneuralnetworkswithmixedtimevaryingdelays
AT hongzhu lessconservativestabilitycriteriaforneutraltypeneuralnetworkswithmixedtimevaryingdelays
AT shoumingzhong lessconservativestabilitycriteriaforneutraltypeneuralnetworkswithmixedtimevaryingdelays
AT yongzeng lessconservativestabilitycriteriaforneutraltypeneuralnetworkswithmixedtimevaryingdelays
AT yupingzhang lessconservativestabilitycriteriaforneutraltypeneuralnetworkswithmixedtimevaryingdelays
AT liliang lessconservativestabilitycriteriaforneutraltypeneuralnetworkswithmixedtimevaryingdelays