Title :
Global Exponential Stability of a General Class of BAM Neural Networks with Impulsive and Delay
Author :
Zhang, Chaolong ; Ding, Wensi ; Yang, Fengjian ; Zeng, Yanshan
Author_Institution :
Dept. of Comput. Sci., Zhongkai Univ. of Agric. & Eng., Guangzhou, China
Abstract :
By piecewise Lyapunov function , a general class of bidirectional associative memory with impulsive and delay is studied.Several global exponential stability criteria of the equilibrium point are established.Two linear impulsive neural networks with delays are constructed, which can be used to design impulsive controllers to control the exponential stability of the system. This method is possible in practical application.
Keywords :
Lyapunov methods; asymptotic stability; content-addressable storage; delays; neural nets; BAM; bidirectional associative memory; delay; global exponential stability; impulsive controllers; linear impulsive neural networks; piecewise Lyapunov function; Artificial neural networks; Asymptotic stability; Delay; Equations; Lyapunov method; Mathematical model; Stability criteria; Lyapunov function; globally exponentially stability; impulsive; neural networks;
Conference_Titel :
Electronic Commerce and Security (ISECS), 2010 Third International Symposium on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4244-8231-3
Electronic_ISBN :
978-1-4244-8231-3
DOI :
10.1109/ISECS.2010.82
