| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1889849 | Chaos, Solitons & Fractals | 2011 | 8 Pages |
Abstract
In this paper, synchronization of delayed fuzzy cellular neural networks has been considered. By construction a suitable Lyapunov functional and utilizing some inequality techniques, some sufficient conditions for synchronization of such a system are obtained. Simulation results are given to justify the theoretical analysis in this paper.
Research highlights► The synchronization system of impulsive fuzzy delay neural networks. ► Global exponential synchronization with the system. ► The effectiveness of the results.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Statistical and Nonlinear Physics
Authors
Xiaomei Feng, Fengqin Zhang, Wenjuan Wang,