DocumentCode
3223486
Title
Global exponential stability of cellular neural networks with delays and impulses
Author
Zhang, EnBiao ; Liu, YanFeng
Author_Institution
Zhengzhou Inf. Sci. & Technol. Inst., Zhengzhou, China
fYear
2011
fDate
27-29 May 2011
Firstpage
425
Lastpage
428
Abstract
In this paper, a new model of cellular neural networks involving variable delays and impulses are considered. Some new sufficient conditions for the existence and global exponential stability of a unique equilibrium of the impulsive delayed model are obtained, without assuming the boundedness, monotonicity or differentiability of the activation functions and subjected to impulsive state at fixed time. The results extend and improve the earlier publications.
Keywords
asymptotic stability; cellular neural nets; delay systems; activation function; cellular neural network; global exponential stability; impulsive delayed model; Lyapunov function; cellular neural networks; global exponential stability; impulses; variable delays;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-61284-485-5
Type
conf
DOI
10.1109/ICCSN.2011.6013864
Filename
6013864
Link To Document