| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 406242 | Neurocomputing | 2015 | 8 Pages |
Abstract
In this paper, the synchronization control of stochastic memristor-based neural networks with mixed delays is studied. Based on the drive-response concept, the stochastic differential inclusions theory and Lyapunov functional method some new criteria are established to guarantee the exponential synchronization in the pth moment of stochastic memristor-based neural networks. The obtained sufficient conditions can be checked easily and improve the results in earlier publications. Finally, a numerical example is given to illustrate the effectiveness of the new scheme.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Yinfang Song, Shiping Wen,