| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 843024 | Nonlinear Analysis: Theory, Methods & Applications | 2007 | 4 Pages |
Abstract
This paper investigates the global asymptotic stability (GAS) for a class of nonlinear neural networks with multiple delays. Based on Lyapunov stability theory and the linear matrix inequality (LMI) technique, a less conservative delay-dependent stability criterion is derived. The present result is shown to be less conservative than those given in the literature.
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Authors
Yi-You Hou, Teh-Lu Liao, Jun-Juh Yan,