๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Global exponential stability for impulsive cellular neural networks with time-varying delays

โœ Scribed by Shair Ahmad; Ivanka M. Stamova


Publisher
Elsevier Science
Year
2008
Tongue
English
Weight
245 KB
Volume
69
Category
Article
ISSN
0362-546X

No coin nor oath required. For personal study only.

โœฆ Synopsis


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.


๐Ÿ“œ SIMILAR VOLUMES


On global exponential stability for impu
โœ Ivanka M. Stamova; Rajcho Ilarionov ๐Ÿ“‚ Article ๐Ÿ“… 2010 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 295 KB

In this paper, the problem of global exponential stability for cellular neural networks (CNNs) with time-varying delays and fixed moments of impulsive effect is studied. A new sufficient condition has been presented ensuring the global exponential stability of the equilibrium points by using piecewi

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 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