DocumentCode
2291071
Title
New results concerning exponential stability of delayed neural networks with impulses
Author
Bai, Chuanzhi
Author_Institution
Dept. of Math., Huaiyin Normal Univ., Huaiyin, China
Volume
1
fYear
2010
fDate
10-12 Aug. 2010
Firstpage
431
Lastpage
435
Abstract
Employing matrix measure approach and Lyapunov functional, the author studies global exponential stability of delayed neural networks with impulses in this paper. Some novel and sufficient conditions are given to guarantee the global exponential stability of the equilibrium point for such delayed neural networks with impulses. Finally, two numerical examples are provided to illustrate our theorems.
Keywords
Lyapunov methods; asymptotic stability; delays; matrix algebra; neural nets; Lyapunov functional; delayed neural networks; global exponential stability; matrix measurement approach; network impulses; Artificial neural networks; Asymptotic stability; Cellular neural networks; Circuit stability; Delay; Stability criteria;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location
Yantai, Shandong
Print_ISBN
978-1-4244-5958-2
Type
conf
DOI
10.1109/ICNC.2010.5583324
Filename
5583324
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