𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Global exponential stability of discrete-time recurrent neural networks with impulses

✍ Scribed by Xinquan Zhao

Publisher
Elsevier Science
Year
2009
Tongue
English
Weight
244 KB
Volume
71
Category
Article
ISSN
0362-546X

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Global exponential stability of generali
Global exponential stability of generalized recurrent neural networks with discrete and distributed delays
✍ Yurong Liu; Zidong Wang; Xiaohui Liu πŸ“‚ Article πŸ“… 2006 πŸ› Elsevier Science 🌐 English βš– 159 KB

This paper is concerned with analysis problem for the global exponential stability of a class of recurrent neural networks (RNNs) with mixed discrete and distributed delays. We first prove the existence and uniqueness of the equilibrium point under mild conditions, assuming neither differentiability

Global exponential stability and global
Global exponential stability and global attractivity of impulsive Hopfield neural networks with time delays
✍ Xilin Fu; Xiaodi Li πŸ“‚ Article πŸ“… 2009 πŸ› Elsevier Science 🌐 English βš– 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

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.