๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Global exponential stability of impulsive high-order BAM neural networks with time-varying delays

โœ Scribed by Daniel W.C. Ho; Jinling Liang; James Lam

Publisher
Elsevier Science
Year
2006
Tongue
English
Weight
421 KB
Volume
19
Category
Article
ISSN
0893-6080

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

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

Global exponential stability of BAM neur
Global exponential stability of BAM neural networks with time-varying delays: The discrete-time case
โœ R. Raja; S. Marshal Anthoni ๐Ÿ“‚ Article ๐Ÿ“… 2011 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 236 KB

This paper deals with the problem of stability analysis for a class of discrete-time bidirectional associative memory (BAM) neural networks with time-varying delays. By employing the Lyapunov functional and linear matrix inequality (LMI) approach, a new sufficient conditions is proposed for the glob

On global exponential stability for impu
On global exponential stability for impulsive cellular neural networks with time-varying delays
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