Existence and global exponential stability of periodic solution of a class of impulsive networks with infinite delays - Details

author：

Xia, Yonghui (Xia, Yonghui.) ^[1] | Cao, Jinde (Cao, Jinde.) ^[2] | Lin, Muren (Lin, Muren.) ^[3]

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Abstract：

Sufficient　conditions　are　obtained　for　the　existence　and　global　exponential　stability　of　a　unique　periodic　solution　of　a　class　of　impulsive　tow-neuron　networks　with　variable　and　unbounded　delays.　The　approaches　are　based　on　Mawhin＇s　continuation　theorem　of　coincidence　degree　theory　and　Lyapunov　functions.　©　World　Scientific　Publishing　Company.

Keyword：

Asymptotic stability Lyapunov functions Neural networks System stability Theorem proving Time varying systems

Community：

[ 1 ] [Xia, Yonghui]College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350002, China
[ 2 ] [Cao, Jinde]Department of Mathematics, Southeast University, Nanjing 210096, China
[ 3 ] [Lin, Muren]College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350002, China

Reprint 's Address：

Email：

yhxia@fzu.edu.cn

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Source ：

International Journal of Neural Systems

ISSN： 0129-0657

Year： 2007

Issue： 1

Volume： 17

Page： 35-42

0 . 4 8 8

JCR@2007

6 . 6 0 0

JCR@2023

JCR Journal Grade：4

Cited Count：

WoS CC Cited Count：

SCOPUS Cited Count： 6

ESI Highly Cited Papers on the List： 0 Unfold All

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Chinese Cited Count：

30 Days PV： 0

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