Abstract
In this paper, we investigate the problem of global and robust stability of a class of interval Hopfield neural networks that have time-varying delays. Some criteria for the global and robust stability of such networks are derived, by means of constructing suitable Lyapunov functionals for the networks. As a by-product, for the conventional Hopfield neural networks with time-varying delays, we also obtain some new criteria for their global and asymptotic stability. © World Scientific Publishing Company.
| Original language | English |
|---|---|
| Pages (from-to) | 171-182 |
| Journal | International Journal of Neural Systems |
| Volume | 13 |
| Issue number | 3 |
| Publication status | Published - Jun 2003 |
| Externally published | Yes |
Research Keywords
- Interval Hopfield neural networks
- Lyapunov functionals
- Robust stability
- Time-varying delays
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