Title :
Global exponential stability of BAM type Cohen-Grossberg neural network with delays and impulsive
Author :
Zhang, Chaolong ; Yang, Fengjian ; Li, Wei ; Wu, Dongqing ; Yang, Jianfu
Author_Institution :
Dept. of Comput. Sci., Zhongkai Univ. of Agric. & Technol., Guangzhou
Abstract :
By Lyapunov function and Halanay inequality, a class of the BAM type Cohen-Grossberg neural network with delays and impulsive is considered. It obtained some sufficient conditions about the existence of equilibrium point, globally exponential stability and globally exponentially robust stability. We can see the impulses do contribution to the exponential stability and robust stability.At last, an example can be demonstrate the results.
Keywords :
Lyapunov methods; asymptotic stability; content-addressable storage; delays; neural nets; Cohen-Grossberg neural network; Halanay inequality; Lyapunov function; bidirectional associative memory; delays; global exponential robust stability; impulsive system; Agriculture; Automation; Chaos; Computer networks; Logistics; Lyapunov method; Magnesium compounds; Neural networks; Robust stability; Sufficient conditions;
Conference_Titel :
Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-2502-0
Electronic_ISBN :
978-1-4244-2503-7
DOI :
10.1109/ICAL.2008.4636703
