| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 389286 | Fuzzy Sets and Systems | 2016 | 16 Pages |
Abstract
In this paper, finite-time synchronization for a class of fuzzy cellular neural networks with time-varying delays is investigated based on the finite-time stability theory. By applying the inequality technique and the analysis method, some new and useful criteria of finite-time synchronization for the addressed network are derived in terms of p-norm. Finally, two examples with their numerical simulations are given to show the feasibility and effectiveness of the developed synchronization method.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Abdujelil Abdurahman, Haijun Jiang, Zhidong Teng,