DocumentCode
2111733
Title
Stability analysis for impulsive neural networks with variable delays
Author
Yang Jianfu ; Ding Wensi ; Yang Fengjian ; Li Wei ; Wang Qian ; Lishi Liang ; Qun Hong
Author_Institution
Dept. of Comput. Sci., Zhongkai Univ. of Agric. & Eng., Guangzhou, China
fYear
2010
fDate
29-31 July 2010
Firstpage
2313
Lastpage
2316
Abstract
In this paper, the cellular neural networks with time-varying delays and impulses are considered, the sufficient conditions for the existence and globally exponential stability of a unique equilibrium point are established by applying idea of vector Lyapunov function, Young inequality and Halanay differential inequality with delay.
Keywords
Lyapunov methods; asymptotic stability; cellular neural nets; delays; differential equations; neurocontrollers; Halanay differential inequality; Young inequality; cellular neural network; exponential stability analysis; impulsive neural network; time varying delay; vector Lyapunov function; Artificial neural networks; Cellular neural networks; Chaos; Circuit stability; Delay; Equations; Stability analysis; Global Exponential stability; Lyapunov Function;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2010 29th Chinese
Conference_Location
Beijing
Print_ISBN
978-1-4244-6263-6
Type
conf
Filename
5573593
Link To Document