DocumentCode
2563464
Title
Exponential stability of periodic solutions for cellular neural networks with S-type distributed delays
Author
Bao, Shuping
Author_Institution
Coll. of Inf. Sci. & Technol., Qingdao Univ. of Sci. & Technol., Qingdao
fYear
2008
fDate
2-4 July 2008
Firstpage
2908
Lastpage
2913
Abstract
In this paper, cellular neural networks with variable coefficients and S-type distributed delays are considered. Sufficient conditions for the existence and exponential stability of the periodic solutions are established by using the coincidence degree theorem and differential inequality technique.
Keywords
asymptotic stability; cellular neural nets; delays; S-type distributed delays; cellular neural networks; coincidence degree theorem; differential inequality technique; exponential stability; periodic solutions; Cellular neural networks; Stability; Cellular neural networks; Coincidence degree theory; Distributed delays; Exponential stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location
Yantai, Shandong
Print_ISBN
978-1-4244-1733-9
Electronic_ISBN
978-1-4244-1734-6
Type
conf
DOI
10.1109/CCDC.2008.4597856
Filename
4597856
Link To Document