| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4634432 | Applied Mathematics and Computation | 2008 | 8 Pages |
Abstract
In this paper, the global asymptotic stability of neutral-type neural networks with unbounded distributed delays is analyzed by utilizing the Lyapunov–Krasovskii functional and the linear matrix inequality (LMI) approach. A new sufficient condition ensuring the global asymptotic stability for neutral-type neural networks is obtained by using the powerful MATLAB LMI toolbox. Two examples are provided to illustrate the applicability of the stability results.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
R. Rakkiyappan, P. Balasubramaniam,