Name
Title | ||
|---|---|---|
Exponential stability and periodicity of impulsive cellular neural networks with time delays |
Abstract | ||
|---|---|---|
This paper is concerned with the stability and periodicity for a class of impulsive neural networks with delays. By means of the Fixed point theory, Lyapunov functional and analysis technique, some sufficient conditions of exponential stability and periodicity are obtained. We can see that impulses do contribution to the stability and periodicity. An example is given to demonstrate the effectiveness of the obtained results. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1016/j.amc.2010.09.008 | Applied Mathematics and Computation |
Keywords | Field | DocType |
Impulse,Neural networks,Time delays,Stability,Fixed point | Mathematical optimization,Control theory,Impulse (physics),Exponential stability,Fixed point,Artificial neural network,Lyapunov functional,Cellular neural network,Mathematics,Fixed-point theorem | Journal |
Volume | Issue | ISSN |
217 | 7 | 0096-3003 |
Citations | PageRank | References |
1 | 0.37 | 4 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fengjian Yang | 1 | 33 | 5.60 |
| Chaolong Zhang | 2 | 65 | 15.03 |
| Dongqing Wu | 3 | 31 | 5.50 |
| Xinming Chen | 4 | 1 | 0.37 |
| Jianfu Yang | 5 | 3 | 2.87 |