Global exponential stability of non-autonomous neural networks with variable delay

Minghui Jiang; Yi Shen; Meiqin Liu

doi:10.1007/11427391_16

Global exponential stability of non-autonomous neural networks with variable delay

Minghui Jiang
, Yi Shen
, Meiqin Liu

Huazhong University of Science and Technology
Zhejiang University

Research output: Contribution to journal › Conference article › peer-review

3 Scopus citations

Abstract

The aim of this work is to discuss the exponential stability of the non-autonomous neural networks with delay. By applying the generalized Halanay inequality and Lyapunov second method, several sufficient conditions are obtained ensuring the global exponential stability of the non-autonomous neural networks. Some previous results are improved and extended in this paper. In the end, a example is also given for illustration.

Original language	English
Pages (from-to)	108-113
Number of pages	6
Journal	Lecture Notes in Computer Science
Volume	3496
Issue number	I
DOIs	https://doi.org/10.1007/11427391_16
State	Published - 2005
Externally published	Yes
Event	Second International Symposium on Neural Networks: Advances in Neural Networks - ISNN 2005 - Chongqing, China Duration: 30 May 2005 → 1 Jun 2005

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10.1007/11427391_16

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title = "Global exponential stability of non-autonomous neural networks with variable delay",

abstract = "The aim of this work is to discuss the exponential stability of the non-autonomous neural networks with delay. By applying the generalized Halanay inequality and Lyapunov second method, several sufficient conditions are obtained ensuring the global exponential stability of the non-autonomous neural networks. Some previous results are improved and extended in this paper. In the end, a example is also given for illustration.",

author = "Minghui Jiang and Yi Shen and Meiqin Liu",

year = "2005",

doi = "10.1007/11427391\_16",

language = "英语",

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AU - Jiang, Minghui

AU - Shen, Yi

AU - Liu, Meiqin

PY - 2005

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N2 - The aim of this work is to discuss the exponential stability of the non-autonomous neural networks with delay. By applying the generalized Halanay inequality and Lyapunov second method, several sufficient conditions are obtained ensuring the global exponential stability of the non-autonomous neural networks. Some previous results are improved and extended in this paper. In the end, a example is also given for illustration.

AB - The aim of this work is to discuss the exponential stability of the non-autonomous neural networks with delay. By applying the generalized Halanay inequality and Lyapunov second method, several sufficient conditions are obtained ensuring the global exponential stability of the non-autonomous neural networks. Some previous results are improved and extended in this paper. In the end, a example is also given for illustration.

UR - https://www.scopus.com/pages/publications/24944510918

U2 - 10.1007/11427391_16

DO - 10.1007/11427391_16

M3 - 会议文章

AN - SCOPUS:24944510918

SN - 0302-9743

VL - 3496

SP - 108

EP - 113

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

IS - I

T2 - Second International Symposium on Neural Networks: Advances in Neural Networks - ISNN 2005

Y2 - 30 May 2005 through 1 June 2005

ER -

Global exponential stability of non-autonomous neural networks with variable delay

Abstract

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