| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4634049 | Applied Mathematics and Computation | 2008 | 10 Pages |
Abstract
In this paper, the design problem of state estimator for a class of neural networks of neutral-type is studied. A delay-dependent linear matrix inequality (LMI) criterion for existence of the estimator is proposed by using the Lyapunov method. The criterion can be easily solved by various convex optimization algorithms. A numerical example with simulation results is given to show the effectiveness of proposed method.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Ju H. Park, O.M. Kwon,