Global stability in delayed cellular neural networks
Jinde Cao · 2003
The problem of global asymptotic stability of a class of delayed cellular neural networks (DCNNs) is further addressed by means of the Lyapunov functional method and the inequality a/sup 3/+b/sup 3/+c/sup 3//spl ges/3abc(a,b,c/spl ges/0) techniques, a set of criteria are found ensuring the global asymptotic stability of DCNNs with more general output functions. These criteria have important significance in signal processing, especially in moving image treatment.