Abstract
![CDATA[We investigate the problem of global robust stability for delayed neural networks in this paper. We first utilize the free-weighting matrices to express the relationship between the terms in the system equation, and then apply the S-procedure to derive a stability condition for delayed neural networks. Next, we extend this result so as to establish a global robust stability criterion for delayed neural networks with polytopic type uncertainties. Finally, we demonstrate the usefulness of the obtained global robust stability criterion and its improvement over the existing results by using a numerical example given in [21] for interval delayed neural networks.]]
| Original language | English |
|---|---|
| Title of host publication | Tencon 2005: Proceedings of the 2005 IEEE International Region 10 Conference |
| Publisher | IEEE Computer Society |
| Number of pages | 6 |
| ISBN (Print) | 0780393112 |
| Publication status | Published - 2005 |
| Event | IEEE Region Ten Conference - Duration: 1 Jan 2006 → … |
Conference
| Conference | IEEE Region Ten Conference |
|---|---|
| Period | 1/01/06 → … |
Keywords
- neural networks (computer science)
- delays
- matrices
- stability
- polytopic type uncertainties
- stability analysis