Name
Title | ||
|---|---|---|
Globally exponential stability of a class of neural networks with impulses and variable delays |
Abstract | ||
|---|---|---|
In this paper, a class of impulsive neural networks with time-varying delays is considered to study the globally exponential stability New sufficient conditions for globally exponential stability are obtained by using the vector Lyapunov function, Young inequality and Halanay differential inequality with delay. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-13278-0_90 | ISNN (1) |
Keywords | Field | DocType |
halanay differential inequality,exponential stability,vector lyapunov function,impulsive neural network,new sufficient condition,young inequality,variable delay,time-varying delay,neural networks,lyapunov function,neural network | Young's inequality,Lyapunov function,Differential inequalities,Control theory,Computer science,Exponential stability,Artificial neural network | Conference |
Volume | ISSN | ISBN |
6063 | 0302-9743 | 3-642-13277-4 |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianfu Yang | 1 | 3 | 2.87 |
| Hongying Sun | 2 | 0 | 0.68 |
| Fengjian Yang | 3 | 33 | 5.60 |
| Wei Li | 4 | 0 | 1.35 |
| Dongqing Wu | 5 | 31 | 5.50 |