| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6855922 | Fuzzy Sets and Systems | 2018 | 10 Pages |
Abstract
Based on the finite-time stability theory, this paper deals with finite-time synchronization for a class of fuzzy cellular neural networks with time-varying coefficients and proportional delays. Using differential inequality techniques and the analysis approach, we derive some new and useful sufficient conditions of finite-time synchronization for the addressed systems. Finally, an illustrative example with its numerical simulations is given to show the effectiveness of main results.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Wentao Wang,