𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Global asymptotic robust stability of static neural network models with S-type distributed delays

✍ Scribed by Min Wang; Linshan Wang

Publisher
Elsevier Science
Year
2006
Tongue
English
Weight
157 KB
Volume
44
Category
Article
ISSN
0895-7177

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Global asymptotic stability for neural n
Global asymptotic stability for neural network models with distributed delays
✍ JosΓ© J. Oliveira πŸ“‚ Article πŸ“… 2009 πŸ› Elsevier Science 🌐 English βš– 667 KB

In this paper, we obtain the global asymptotic stability of the zero solution of a general n-dimensional delayed differential system, by imposing a condition of dominance of the non-delayed terms which cancels the delayed effect. We consider several delayed differential systems in general settings,

Global exponential stability of high-ord
Global exponential stability of high-order Hopfield-type neural networks with S-type distributed time delays
✍ Yangfan Wang; Chunge Lu; Guangrong Ji; Linshan Wang πŸ“‚ Article πŸ“… 2011 πŸ› Elsevier Science 🌐 English βš– 225 KB

This paper studies the problems of global exponential stability of high-order Hopfield-type neural networks with s-type distributed time delays. By using the topological degree theory and differential inequality technique, we prove existence of the equilibrium point and global existence of the solut

Novel delay-dependent global asymptotic
Novel delay-dependent global asymptotic stability condition of Hopfield neural networks with delays
✍ Degang Yang; Chunyan Hu πŸ“‚ Article πŸ“… 2009 πŸ› Elsevier Science 🌐 English βš– 488 KB

In this paper, the global asymptotic stability of Hopfield neural networks with delays is investigated. Distinct differences from other analytical approaches lie in transforming to an equivalent system by using a parameterized transformation which allows free variables in an operator. A novel, less