Abstract
This Letter provides new exponential stability criteria for neural networks with variable delays. By applying the properties of M-matrix properties and inequality techniques, simple and improved delay-dependent exponential stability criteria are derived. These criteria extend and improve the existing ones, which is important in the design of neural networks.
| Original language | English |
|---|---|
| Pages (from-to) | 53-58 |
| Number of pages | 6 |
| Journal | Physics Letters A |
| Volume | 351 |
| Issue number | 45323 |
| DOIs | |
| Publication status | Published - 2006 |
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