| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1893737 | Chaos, Solitons & Fractals | 2008 | 6 Pages |
Abstract
Based on the Lyapunov's second method and the linear matrix inequality (LMI) optimization approach, this paper presents a new sufficient condition for global asymptotic stability of the equilibrium point for a class of neural networks with discrete and distributed delays. The stability condition is expressed in terms of LMIs, which can be solved easily by various convex optimization algorithms. A numerical example is given to show the less conservatism and effectiveness of proposed method.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Statistical and Nonlinear Physics
Authors
Ju H. Park,