| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1861476 | Physics Letters A | 2010 | 6 Pages |
Abstract
This Letter considers a robust stability analysis method for delayed neural networks of neutral type. By constructing a new Lyapunov functional, a novel delay-dependent criterion for the stability is derived in terms of LMIs (linear matrix inequalities). A less conservative stability criterion is derived by using nonlinear properties of the activation function of the neural networks. Two numerical examples are illustrated to show the effectiveness of the proposed method.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Physics and Astronomy (General)
Authors
S.M. Lee, O.M. Kwon, Ju H. Park,