New Results on Passivity Analysis for Uncertain Neural Networks with Time-Varying Delay

The paper investigates the stability and passivity analysis problems for a class of uncertain neural networks with time-delay via delta operator approach. Both the parameter uncertainty and the generalized activation functions are considered in this paper. By constructing an appropriate Lyapunov-Kra...

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Main Authors: Xueying Shao, Qing Lu, Hamid Reza Karimi, Jin Zhu
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Abstract and Applied Analysis
Online Access:http://dx.doi.org/10.1155/2014/303575
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author Xueying Shao
Qing Lu
Hamid Reza Karimi
Jin Zhu
author_facet Xueying Shao
Qing Lu
Hamid Reza Karimi
Jin Zhu
author_sort Xueying Shao
collection DOAJ
description The paper investigates the stability and passivity analysis problems for a class of uncertain neural networks with time-delay via delta operator approach. Both the parameter uncertainty and the generalized activation functions are considered in this paper. By constructing an appropriate Lyapunov-Krasovskii functional, some new stability and passivity conditions are obtained in terms of linear matrix inequalities (LMIs). The main characteristic of this paper is to obtain novel stability and passivity analysis criteria for uncertain neural networks with time-delay in the delta operator system framework. A numerical example is presented to demonstrate the effectiveness of the proposed results.
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institution Kabale University
issn 1085-3375
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language English
publishDate 2014-01-01
publisher Wiley
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series Abstract and Applied Analysis
spelling doaj-art-6b15bfb1962a4d5a900778a1221ce2b32025-02-03T01:02:24ZengWileyAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/303575303575New Results on Passivity Analysis for Uncertain Neural Networks with Time-Varying DelayXueying Shao0Qing Lu1Hamid Reza Karimi2Jin Zhu3School of Mathematics and Physics, Bohai University, Jinzhou, Liaoning 121013, ChinaCollege of Engineering, Bohai University, Jinzhou, Liaoning 121013, ChinaDepartment of Engineering of the Faculty of Engineering and Science, University of Agder, 4898 Grimstad, NorwaySchool of Mathematics and Physics, Bohai University, Jinzhou, Liaoning 121013, ChinaThe paper investigates the stability and passivity analysis problems for a class of uncertain neural networks with time-delay via delta operator approach. Both the parameter uncertainty and the generalized activation functions are considered in this paper. By constructing an appropriate Lyapunov-Krasovskii functional, some new stability and passivity conditions are obtained in terms of linear matrix inequalities (LMIs). The main characteristic of this paper is to obtain novel stability and passivity analysis criteria for uncertain neural networks with time-delay in the delta operator system framework. A numerical example is presented to demonstrate the effectiveness of the proposed results.http://dx.doi.org/10.1155/2014/303575
spellingShingle Xueying Shao
Qing Lu
Hamid Reza Karimi
Jin Zhu
New Results on Passivity Analysis for Uncertain Neural Networks with Time-Varying Delay
Abstract and Applied Analysis
title New Results on Passivity Analysis for Uncertain Neural Networks with Time-Varying Delay
title_full New Results on Passivity Analysis for Uncertain Neural Networks with Time-Varying Delay
title_fullStr New Results on Passivity Analysis for Uncertain Neural Networks with Time-Varying Delay
title_full_unstemmed New Results on Passivity Analysis for Uncertain Neural Networks with Time-Varying Delay
title_short New Results on Passivity Analysis for Uncertain Neural Networks with Time-Varying Delay
title_sort new results on passivity analysis for uncertain neural networks with time varying delay
url http://dx.doi.org/10.1155/2014/303575
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AT qinglu newresultsonpassivityanalysisforuncertainneuralnetworkswithtimevaryingdelay
AT hamidrezakarimi newresultsonpassivityanalysisforuncertainneuralnetworkswithtimevaryingdelay
AT jinzhu newresultsonpassivityanalysisforuncertainneuralnetworkswithtimevaryingdelay