| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 409311 | Neurocomputing | 2013 | 8 Pages |
Abstract
In this paper, the exponential synchronization for a class of delayed recurrent neural networks is investigated by virtue of intermittent control schemes. Based on p -norm and ∞-norm∞-norm, respectively, several new and useful synchronization criteria are derived by applying Lyapunov functional theory, mathematical induction and inequality technique. Particularly, some feasible regions of control parameters for each neuron are derived for the realization of exponential synchronization, which provides great convenience to the applications of the theoretical results. Finally, some numerical simulations are given to demonstrate the effectiveness of the proposed control methods.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Jiuju Xing, Haijun Jiang, Cheng Hu,