Name
Abstract | ||
|---|---|---|
This paper is concerned with analyzing mean square exponential stability of stochastic delayed neural networks subject to parametric uncertainties. The discretized Lyapunov functional technique is first utilized to construct a new Lyapunov functional in order to effectively deal with the time-varying delay. Then the free-weighting matrix technique and the convex combination method are used to establish a new delay-dependent mean square exponential stability criterion for uncertain stochastic delayed neural networks. The usefulness of the new theoretical findings is further demonstrated by numerical results. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ISCAS.2010.5537098 | international symposium on circuits and systems |
Keywords | DocType | Volume |
uncertain systems,convex combination method,parametric uncertainties,stochastic systems,asymptotic stability,time varying delay,uncertain stochastic delayed neural networks,convex programming,delays,mean square exponential stability,delay dependent mean square exponential stability criterion,discretized lyapunov functional technique,lyapunov matrix equations,free weighting matrix technique,neural nets,exponential stability,numerical stability,lyapunov function,convex combination,neural network,artificial neural networks | Conference | null |
Issue | ISSN | ISBN |
null | null | 978-1-4244-5309-2 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wu-Hua Chen | 1 | 869 | 58.24 |
| Wei Xing Zheng | 2 | 4266 | 274.73 |