Abstract
A delay-dependent state estimation problem for a class of neural networks with time-varying delays is addressed in this paper. By using both the lower bound and the upper bound of the time-varying delay of the delayed networks, a Lyapunov function is constructed. Based on this new Lyapunov function, a delay dependent condition is established in terms of linear matrix inequality (LMI) to guarantee the dynamics of the estimation error being globally asymptotically stable. A numerical example is provided to demonstrate the effectiveness of the proposed design method.
| Original language | English |
|---|---|
| Pages (from-to) | 1711-1723 |
| Number of pages | 13 |
| Journal | International Journal of Innovative Computing, Information and Control |
| Volume | 5 |
| Issue number | 6 |
| Publication status | Published - 2009 |
Keywords
- neural networks (computer science)
- time delay systems