𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Exponential stability of Hopfield neural networks with time-varying delays via impulsive control

✍ Scribed by Xiaodi Li


Publisher
John Wiley and Sons
Year
2010
Tongue
English
Weight
162 KB
Volume
33
Category
Article
ISSN
0170-4214

No coin nor oath required. For personal study only.

✦ Synopsis


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 impulses is gained. We can see that impulses do contribution to the system's exponential stability. Two examples are given to illustrate the effectiveness of our result.


πŸ“œ SIMILAR VOLUMES


Global exponential stability for a class
✍ Qiang Xi πŸ“‚ Article πŸ“… 2011 πŸ› John Wiley and Sons 🌐 English βš– 152 KB

In this paper, by utilizing Lyapunov functional method, the quality of negative definite matrix and the linear matrix inequality approach, the global exponential stability of the equilibrium point for a class of generalized delayed neural networks with impulses is investigated. A new criterion on gl

A new criterion to global exponential st
✍ Guanghui Sun; Xiaodi Li πŸ“‚ Article πŸ“… 2010 πŸ› John Wiley and Sons 🌐 English βš– 170 KB

This paper considers the global exponential stability and exponential convergence rate of impulsive neural networks with continuously distributed delays in which the state variables on the impulses are related to the unbounded distributed delays. By establishing a new impulsive delay differential in