| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10326447 | Neurocomputing | 2016 | 7 Pages |
Abstract
This paper focuses on the hybrid effects of coupling, time-varying delay, intermittent controller on memristor-based neural networks. Firstly, we constructed an array of linearly coupled memristor-based neural networks with time-varying delay. Secondly, our sufficient conditions, ensuring the stability and synchronization, are dependent on coupling and intermittent control and show coupling and intermittent control on the stability and synchronization of memristor-based neural networks. Finally, numerical simulations were given to verify the theoretical results.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Wei Zhang, Chuandong Li, Tingwen Huang, Junjian Huang,