Name
Title | ||
|---|---|---|
Mean square exponential stability of impulsive stochastic fuzzy cellular neural networks with distributed delays |
Abstract | ||
|---|---|---|
The mean square exponential stability of a class of impulsive stochastic fuzzy cellular neural networks with distributed delays is investigated in this paper. By using analytic methods such as Lyapunov functional, Ito@?'s formula, inequality techniques, the sufficient conditions guaranteeing the mean square exponential stability of its equilibrium solution are obtained. For illustration, an example is given to show the feasibility of results. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.eswa.2010.11.070 | Expert Syst. Appl. |
Keywords | DocType | Volume |
sufficient condition,inequality technique,fuzzy cellular neural networks,mean square exponential stability,equilibrium solution,analytic method,distributed delays,impulsive,stochastic,stochastic fuzzy cellular neural,lyapunov function,exponential stability,cellular neural network | Journal | 38 |
Issue | ISSN | Citations |
5 | Expert Systems With Applications | 18 |
PageRank | References | Authors |
0.68 | 10 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Liping Chen | 1 | 19 | 1.76 |
| Ranchao Wu | 2 | 189 | 10.45 |
| Donghui Pan | 3 | 18 | 0.68 |