| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1894024 | Chaos, Solitons & Fractals | 2007 | 6 Pages |
Abstract
The passivity condition for delayed neural networks with uncertainties is considered in this article. From simple extension of a recent work for stability analysis of the system, a new criterion for the passivity of the system is derived in terms of linear matrix inequalities (LMIs), which can be easily solved by using various convex optimization algorithms. A numerical example is given to show the usefulness of our result.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Statistical and Nonlinear Physics
Authors
Ju H. Park,