| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1893311 | Chaos, Solitons & Fractals | 2009 | 5 Pages |
Abstract
In this paper, a new Lyapunov–Krasovskii functional is constructed for delayed Hopfield neural networks, and several free-weighting matrices and S-procedure are employed to derive the delay-dependent stability criterion. The derived criterion is formulated in terms of linear matrix inequality (LMI). A numerical example is given to demonstrate the effectiveness and less conservativeness of the presented criterion.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Statistical and Nonlinear Physics
Authors
Yanhong Jiang, Bin Yang, Jincheng Wang, Cheng Shao,