| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4943892 | Fuzzy Sets and Systems | 2017 | 11 Pages |
Abstract
This paper is concerned with finite-time stability for a class of fuzzy cellular neural networks with multi-proportional delays. Based on the finite-time stability theory, we establish a novel result to ensure the finite-time stability of the addressed system by employing the differential inequality techniques. We also use numerical simulations to demonstrate our theoretical result.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Renwei Jia,