DocumentCode
2317072
Title
On global asymptotic stability criteria for cellular neural networks with discrete and distributed time-varying delays
Author
Huang, Bin ; Jiang, Minghui ; Zhang, Ting
Author_Institution
Inst. of Nonlinear & Complex Syst., China Three Gorges Univ., Yichang, China
fYear
2010
fDate
25-27 Aug. 2010
Firstpage
1
Lastpage
5
Abstract
In this paper, the global asymptotic stability for a class of uncertain delayed cellular neural networks with discrete and distributed time-varying delays (DCNNs) is considered. Based on the Lyapunov functional stability analysis for differential equations and the linear matrix inequality (LMI) optimization approach, a new criterion is derived to guarantee global asymptotic stability. A numerical example is illustrated to show the effectiveness of our results.
Keywords
Lyapunov methods; asymptotic stability; cellular neural nets; linear matrix inequalities; time-varying systems; Lyapunov functional stability analysis; cellular neural network; differential equations; discrete time-varying delay; distributed time-varying delay; global asymptotic stability criteria; linear matrix inequality optimization; Artificial neural networks; Cellular neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computational Intelligence (IWACI), 2010 Third International Workshop on
Conference_Location
Suzhou, Jiangsu
Print_ISBN
978-1-4244-6334-3
Type
conf
DOI
10.1109/IWACI.2010.5585133
Filename
5585133
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