Title :
Exponential stability of impulsive Cohen-Grossberg-type BAM neural networks with delays and diffusion terms
Author :
Wan, Li ; Zhou, Qinghua
Author_Institution :
Coll. of Sci., Wuhan Textile Univ., Wuhan, China
Abstract :
This paper is concerned with impulsive Cohen-Grossberg-type BAM neural networks with time-varying delays and reaction-diffusion terms. By delay differential inequality with impulses, we present some sufficient conditions ensuring the global exponential stability of the equilibrium point. A numerical example is given to demonstrate the effectiveness and applicability of the proposed criteria.
Keywords :
asymptotic stability; delay-differential systems; delays; neural nets; reaction-diffusion systems; time-varying systems; delay differential inequality; diffusion term; equilibrium point; exponential stability; impulsive Cohen-Grossberg type BAM neural network; reaction diffusion term; time varying delay; Artificial neural networks; Delay; Neurons; Numerical stability; Stability criteria;
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
DOI :
10.1109/ICNC.2010.5583832
