Abstract
The delay-dependent passive filtering problem is studied for delayed neural networks. A new delay-dependent passive filter is proposed such that the filtering error system is asymptotically stable and passive from the external disturbance to the output error. The desired filter matrix gain is characterized in terms of the solution to a linear matrix inequality (LMI), which can be easily facilitated by using some standard numerical packages. An illustrative example is given to demonstrate the effectiveness of the proposed filter.
| Original language | English |
|---|---|
| Pages (from-to) | 1040-1047 |
| Number of pages | 8 |
| Journal | Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering |
| Volume | 224 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - 2010 Dec 1 |
| Externally published | Yes |
Keywords
- Lyapunov-Krasovskii stability theory
- delayed neural networks
- linear matrix inequality (LMI)
- passive filtering
ASJC Scopus subject areas
- Control and Systems Engineering
- Mechanical Engineering