| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1896779 | Chaos, Solitons & Fractals | 2007 | 7 Pages |
Abstract
The exponential stability of delayed fuzzy cellular neural networks (FCNN) with diffusion is investigated. Exponential stability, significant for applications of neural networks, is obtained under conditions that are easily verified by a new approach. Earlier results on the exponential stability of FCNN with time-dependent delay, a special case of the model studied in this paper, are improved without using the time-varying term condition: dτ(t)/dt < μ.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Statistical and Nonlinear Physics
Authors
Tingwen Huang,