Name
Abstract | ||
|---|---|---|
In this paper, with assuming global Lipschitz conditions on the activation functions, applying idea of vector Lyapunov function, Young inequality and Halanay differential inequality with delay, the global exponential stability of the equilibrium point for a class of cellular neural networks with distributed delays and large impulses is investigated, the sufficient conditions for globally exponential stability of neural networks are obtained. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/WGEC.2009.34 | WGEC |
Keywords | Field | DocType |
halanay differential inequality,neural network,impulsive neural network,global lipschitz conditions,asymptotic stability,transfer functions,young inequality,global exponential stability,cellular neural networks,vector lyapunov function,delays,cellular neural network,impulsive neural networks,exponential stability,cellular neural nets,large impulse,activation function,equilibrium point,global lipschitz condition,lyapunov methods,distributed delay,lyapunov function,lipschitz condition,artificial neural networks,agriculture,stability analysis | Young's inequality,Lyapunov function,Mathematical optimization,Control theory,Equilibrium point,Exponential stability,Transfer function,Lipschitz continuity,Artificial neural network,Cellular neural network,Mathematics | Conference |
ISBN | Citations | PageRank |
978-0-7695-3899-0 | 0 | 0.34 |
References | Authors | |
3 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianfu Yang | 1 | 3 | 2.87 |
| Fengjian Yang | 2 | 33 | 5.60 |
| Ren Liu | 3 | 28 | 6.14 |
| Wei Li | 4 | 0 | 1.35 |
| Dongqing Wu | 5 | 31 | 5.50 |