𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Stability properties for Hopfield neural networks with delays and impulsive perturbations

✍ Scribed by Xiaodi Li; Zhang Chen


Publisher
Elsevier Science
Year
2009
Tongue
English
Weight
726 KB
Volume
10
Category
Article
ISSN
1468-1218

No coin nor oath required. For personal study only.

✦ Synopsis


In this paper, we consider the uniform asymptotic stability, global asymptotic stability and global exponential stability of the equilibrium point of Hopfield neural networks with delays and impulsive perturbation. Some new stability criteria for such system are derived by using the Lyapunov functional method and the linear matrix inequality approach. The results are related to the size of delays and impulses. Our results are less restrictive and conservative than that given in some earlier references. Finally, two numerical examples showing the effectiveness of the present criteria are given.


πŸ“œ SIMILAR VOLUMES


Exponential stability of Hopfield neural
✍ Xiaodi Li πŸ“‚ Article πŸ“… 2010 πŸ› John Wiley and Sons 🌐 English βš– 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
✍ 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

Impulsive hybrid discrete-time Hopfield
✍ Eva Kaslik; Seenith Sivasundaram πŸ“‚ Article πŸ“… 2011 πŸ› Elsevier Science 🌐 English βš– 339 KB

In this paper we investigate multistability of discrete-time Hopfield-type neural networks with distributed delays and impulses, by using Lyapunov functionals, stability theory and control by impulses. Example and simulation results are given to illustrate the effectiveness of the results.