DocumentCode
550597
Title
Exponential p -stability of Cohen-Grossberg neural networks with time-delays and impulses
Author
Qin Fajin ; Yao Xiaojie
Author_Institution
Dept. of Math. & Comput. Sci., Liuzhou Teachers Coll., Liuzhou, China
fYear
2011
fDate
22-24 July 2011
Firstpage
2716
Lastpage
2720
Abstract
In this paper , we consider a class of Cohen-Grossberg neural networks with time-delays and impulses. By using the properties of M -cone and differential inequality technique, criteria on the exponential p -stability of this model are derived, and the estimated exponential convergence rate is also obtained. The results of this paper are new and they supplement previously known results.
Keywords
asymptotic stability; delays; differential equations; neural nets; Cohen-Grossberg neural networks; differential inequality technique; exponential convergence rate; exponential p-stability; impulses; m-cone property; time-delays; Artificial neural networks; Asymptotic stability; Biological neural networks; Convergence; Delay; Differential equations; Stability analysis; Cohen-Grossberg Neural Networks; Exponential p -stability; Time-delays;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2011 30th Chinese
Conference_Location
Yantai
ISSN
1934-1768
Print_ISBN
978-1-4577-0677-6
Electronic_ISBN
1934-1768
Type
conf
Filename
6000936
Link To Document