| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 407851 | Neurocomputing | 2014 | 5 Pages |
Abstract
In this paper, a finite-time lag synchronization of coupled neural networks with time delay is investigated. By means of the Lyapunov stability theory, a feedback controller is designed for achieving lag synchronization between two delayed neural networks systems in finite time. Paper extends some basic results from the area of finite time to time-delay systems. Numerical simulations on coupled Lu neural systems illustrate the effectiveness of the results.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Junjian Huang, Chuandong Li, Tingwen Huang, Xing He,