Name
Title | ||
|---|---|---|
Adaptive almost sure asymptotically stability for neutral-type neural networks with stochastic perturbation and Markovian switching. |
Abstract | ||
|---|---|---|
The problem of stability via adaptive controller is considered for time-delay neutral-type neural networks with stochastic noise and Markovian switching in this paper. A new criterion of almost sure (a.s.) asymptotic stability for a general neutral-type stochastic differential equation is proposed. Based on this criterion, and by using of the generalized Itô¿s formula and the M-matrix method, a delay dependent sufficient condition is established to ensure the almost sure asymptotic stability for neutral-type neural networks with stochastic perturbation and Markovian switching. Meanwhile, the update law of the feedback control is determined. A numerical example is provided to verify the usefulness of the criterion proposed in this paper. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.neucom.2014.12.069 | Neurocomputing |
Keywords | Field | DocType |
stability | Control theory,Control theory,Stochastic neural network,Stochastic differential equation,Markovian switching,Exponential stability,Artificial neural network,Perturbation (astronomy),Mathematics | Journal |
Volume | Issue | ISSN |
156 | C | 0925-2312 |
Citations | PageRank | References |
4 | 0.42 | 12 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Liuwei Zhou | 1 | 59 | 2.79 |
| Zhijie Wang | 2 | 89 | 11.14 |
| Xiantao Hu | 3 | 4 | 0.42 |
| Bo Chu | 4 | 4 | 0.42 |
| Wuneng Zhou | 5 | 467 | 53.74 |