๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Exponential stability of Hopfield neural networks with impulses

โœ Scribed by Benedetta Lisena


Publisher
Elsevier Science
Year
2011
Tongue
English
Weight
219 KB
Volume
12
Category
Article
ISSN
1468-1218

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Exponential stability of Hopfield neural
โœ Xiaodi Li ๐Ÿ“‚ Article ๐Ÿ“… 2010 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 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
โœ Xilin Fu; Xiaodi Li ๐Ÿ“‚ Article ๐Ÿ“… 2009 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 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

Almost sure exponential stability of del
โœ Chuangxia Huang; Ping Chen; Yigang He; Lihong Huang; Wen Tan ๐Ÿ“‚ Article ๐Ÿ“… 2008 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 187 KB

The stability of stochastic delayed Hopfield neural networks (DHNN) is investigated in this paper. Under the help of suitable Lyapunov function and the semimartingale convergence theorem, we obtain some sufficient criteria to check the almost sure exponential stability of the DHNN.

Stability properties for Hopfield neural
โœ Xiaodi Li; Zhang Chen ๐Ÿ“‚ Article ๐Ÿ“… 2009 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 726 KB

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 functio

Asymptotic stability of impulsive high-o
โœ Bingji Xu; Xiang Liu; Kok Lay Teo ๐Ÿ“‚ Article ๐Ÿ“… 2009 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 586 KB

In this paper, we discuss impulsive high-order Hopfield type neural networks. Investigating their global asymptotic stability, by using Lyapunov function method, sufficient conditions that guarantee global asymptotic stability of networks are given. These criteria can be used to analyse the dynamics