Title :
Globally exponential stability analysis of neural networks with distributed delays
Author :
Yang, Jianfu ; Yang, Fengjian ; Li, Wei ; Zhang, Chaolong
Author_Institution :
Coll. of Comput. Sci., Zhongkai Univ. of Agric. & Eng., Guangzhou, China
Abstract :
This paper analyses the existence and globally exponential stability of a class of cellular neural networks with distributed delays, with assuming global Lipschitz conditions on the activation functions, applying the idea of vector Lyapunov function, Young inequality and Halanay differential inequality with delay, some sufficient conditions are obtained to ensure the equilibrium point.
Keywords :
Lyapunov methods; asymptotic stability; cellular neural nets; delays; Halanay differential inequality; Young inequality; activation functions; cellular neural networks; distributed delays; equilibrium point; global Lipschitz conditions; globally exponential stability analysis; vector Lyapunov function; Artificial neural networks; Asymptotic stability; Boolean functions; Cellular neural networks; Data structures; Delay; Stability analysis; cellular neural networks; globally exponential stability;
Conference_Titel :
Geoscience and Remote Sensing (IITA-GRS), 2010 Second IITA International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-8514-7
DOI :
10.1109/IITA-GRS.2010.5602321
