𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Global exponential stability of impulsive discrete-time neural networks with time-varying delays

✍ Scribed by Honglei Xu; Yuanqiang Chen; Kok Lay Teo

Book ID
108051835
Publisher
Elsevier Science
Year
2010
Tongue
English
Weight
198 KB
Volume
217
Category
Article
ISSN
0096-3003

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Global exponential stability for impulsi
Global exponential stability for impulsive cellular neural networks with time-varying delays
✍ Shair Ahmad; Ivanka M. Stamova πŸ“‚ Article πŸ“… 2008 πŸ› Elsevier Science 🌐 English βš– 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.

On global exponential stability for impu
On global exponential stability for impulsive cellular neural networks with time-varying delays
✍ Ivanka M. Stamova; Rajcho Ilarionov πŸ“‚ Article πŸ“… 2010 πŸ› Elsevier Science 🌐 English βš– 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

Global exponential stability of BAM neur
Global exponential stability of BAM neural networks with time-varying delays: The discrete-time case
✍ R. Raja; S. Marshal Anthoni πŸ“‚ Article πŸ“… 2011 πŸ› Elsevier Science 🌐 English βš– 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