New Exponential Stability Conditions of Switched BAM Neural Networks with Delays

The exponential stability problem is considered in this paper for discrete-time switched BAM neural networks with time delay. The average dwell time method is introduced to deal with the exponential stability analysis of the systems for the first time. By constructing a new switching-dependent Lya...

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Main Author:	Yi Yang
Format:	Article
Language:	English
Published:	Hindawi Limited 2013-01-01
Series:	Mathematical Problems in Engineering
Online Access:	http://dx.doi.org/10.1155/2013/141592

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spelling	doaj-f067a3c0521a40e1b352ab9d60ba5ee02020-11-24T21:23:17ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472013-01-01201310.1155/2013/141592141592New Exponential Stability Conditions of Switched BAM Neural Networks with DelaysYi Yang0Reliability and Systems Engineering School, Beihang University, Beijing 100191, ChinaThe exponential stability problem is considered in this paper for discrete-time switched BAM neural networks with time delay. The average dwell time method is introduced to deal with the exponential stability analysis of the systems for the first time. By constructing a new switching-dependent Lyapunov-Krasovskii functional, some new delay-dependent criteria are developed, which guarantee the exponential stability. A numerical example is provided to demonstrate the potential and effectiveness of the proposed algorithms.http://dx.doi.org/10.1155/2013/141592
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Yi Yang
spellingShingle	Yi Yang New Exponential Stability Conditions of Switched BAM Neural Networks with Delays Mathematical Problems in Engineering
author_facet	Yi Yang
author_sort	Yi Yang
title	New Exponential Stability Conditions of Switched BAM Neural Networks with Delays
title_short	New Exponential Stability Conditions of Switched BAM Neural Networks with Delays
title_full	New Exponential Stability Conditions of Switched BAM Neural Networks with Delays
title_fullStr	New Exponential Stability Conditions of Switched BAM Neural Networks with Delays
title_full_unstemmed	New Exponential Stability Conditions of Switched BAM Neural Networks with Delays
title_sort	new exponential stability conditions of switched bam neural networks with delays
publisher	Hindawi Limited
series	Mathematical Problems in Engineering
issn	1024-123X 1563-5147
publishDate	2013-01-01
description	The exponential stability problem is considered in this paper for discrete-time switched BAM neural networks with time delay. The average dwell time method is introduced to deal with the exponential stability analysis of the systems for the first time. By constructing a new switching-dependent Lyapunov-Krasovskii functional, some new delay-dependent criteria are developed, which guarantee the exponential stability. A numerical example is provided to demonstrate the potential and effectiveness of the proposed algorithms.
url	http://dx.doi.org/10.1155/2013/141592
work_keys_str_mv	AT yiyang newexponentialstabilityconditionsofswitchedbamneuralnetworkswithdelays
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New Exponential Stability Conditions of Switched BAM Neural Networks with Delays

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