๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Global exponential stability of Hopfield neural networks with variable delays and impulsive effects

โœ Scribed by Zhi-chun Yang; Dao-yi Xu


Publisher
Springer
Year
2006
Tongue
English
Weight
155 KB
Volume
27
Category
Article
ISSN
0253-4827

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Global exponential stability and global
โœ Xilin Fu; Xiaodi Li ๐Ÿ“‚ Article ๐Ÿ“… 2009 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 1014 KB

In this paper, by means of constructing the extended impulsive delayed Halanay inequality and by Lyapunov functional methods, we analyze the global exponential stability and global attractivity of impulsive Hopfield neural networks with time delays. Some new sufficient conditions ensuring exponentia

Exponential stability of Hopfield neural
โœ Xiaodi Li ๐Ÿ“‚ Article ๐Ÿ“… 2010 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 162 KB

In this paper, by utilizing the Lyapunov functionals, the analysis method and the impulsive control, we analyze the exponential stability of Hopfield neural networks with time-varying delays. A new criterion on the exponential stabilization by impulses and the exponential stabilization by periodic i

Global exponential stability for impulsi
โœ Shair Ahmad; Ivanka M. Stamova ๐Ÿ“‚ Article ๐Ÿ“… 2008 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 245 KB

In this paper, we study the problem of global exponential stability for cellular neural networks (CNN) with time-varying delays and fixed moments of impulsive effect. We establish several stability criteria by employing Lyapunov functions and the Razumikhin technique.