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
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;
Conference_Titel :
Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-61284-485-5
DOI :
10.1109/ICCSN.2011.6013864
