Abstract
In this paper, the problem of stability analysis for a class of neural networks with distributed delays is investigated. Applying the M-matrix theory and new analysis technique, novel sufficient conditions for the existence, uniqueness, and global asymptotic stability of the equilibrium point of neural networks with distributed delays are derived. The new stability criteria can be applied to the case when the nondelayed terms cannot dominate the delayed terms, which have great significance in the design and application of neural networks with distributed delays. Three illustrative examples are presented which demonstrate the usefulness of the proposed results.
| Original language | English |
|---|---|
| Pages (from-to) | 644-652 |
| Number of pages | 9 |
| Journal | IEEE Transactions on Circuits and Systems I: Regular Papers |
| Volume | 53 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Mar 2006 |
Keywords
- neural networks (computer science)
- stability
- time-delay systems