This paper studies the problems of global exponential stability of high-order Hopfield-type neural networks with s-type distributed time delays. By using the topological degree theory and differential inequality technique, we prove existence of the equilibrium point and global existence of the solut
โฆ LIBER โฆ
Global asymptotic stability of high-order Hopfield type neural networks with time delays
โ Scribed by Bingji Xu; Xinzhi Liu; Xiaoxin Liao
- Book ID
- 108458460
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 586 KB
- Volume
- 45
- Category
- Article
- ISSN
- 0898-1221
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Global exponential stability of high-ord
โ
Yangfan Wang; Chunge Lu; Guangrong Ji; Linshan Wang
๐
Article
๐
2011
๐
Elsevier Science
๐
English
โ 225 KB
Global exponential stability of impulsiv
โ
Bingji Xu; Xiang Liu; Kok Lay Teo
๐
Article
๐
2009
๐
Elsevier Science
๐
English
โ 592 KB
Novel global stability criteria for high
โ
Xu-Yang Lou; Bao-Tong Cui
๐
Article
๐
2007
๐
Elsevier Science
๐
English
โ 162 KB
Asymptotic stability of impulsive high-o
โ
Bingji Xu; Xiang Liu; Kok Lay Teo
๐
Article
๐
2009
๐
Elsevier Science
๐
English
โ 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
Global stability in hopfield neural netw
โ
Jiye Zhang; Pingbo Wu; Huanyun Dai
๐
Article
๐
2001
๐
SP Science Press
๐
English
โ 390 KB
New delay-dependent global asymptotic st
โ
Guang-Deng Zong; Jia Liu
๐
Article
๐
2009
๐
Institute of Automation, Chinese Academy of Scienc
๐
English
โ 222 KB