title: Global stability analysis in delayed cellular neural networks.
abstract: In this paper, the author analyzes further problems of global stability for a class of cellular neural networks with delays by means of the Lyapunov functional method, inequalities a(2)+b(2)> or =2ab and a(3)+b(3)+c(3)> or =3abc (a,b,c > or =0) analysis technique, some stability criteria are obtained under more general conditions. These criteria can be applied to design globally stable networks and thus have important significance in both theory and applications.
authors.affiliation: Adult Education College, Yunnan University, Kunming 650091, People's Republic of China.
authors.forename: J
authors.initials: J
authors.lastname: Cao
mesh_terms: D055592:Biophysical Phenomena; D001703:Biophysics; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D016571:Neural Networks, Computer; D017711:Nonlinear Dynamics