DocumentCode
550168
Title
Asymptotically behavior of cellular neural networks with time delays
Author
Pei Ji-Nan
Author_Institution
Dept. of Math., Chongqing Educ. Coll., Chongqing, China
fYear
2011
fDate
22-24 July 2011
Firstpage
2647
Lastpage
2648
Abstract
In this paper, some sufficient conditions of the asymptotically stability for cellular neural networks are obtained by the properties of the Lozinskii measures and techniques of differential inequalities, and the boundedness of nonlinear activation functions is not required.
Keywords
asymptotic stability; cellular neural nets; delays; nonlinear functions; Lozinskii measures; asymptotically stability; cellular neural networks; differential inequalities; nonlinear activation functions; time delays; Artificial neural networks; Asymptotic stability; Cellular neural networks; Delay; Delay effects; Numerical stability; Stability analysis; Asymptotically stably; Cellular neural network; Lozinskii measures; M-matrix;
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
6000505
Link To Document