Abstract
In this paper, some novel criteria for the global robust stability of a class of interval Hopfield neural networks with constant delays are given. Based on several new Lyapunov functionals, delay-independent criteria are provided to guarantee the global robust stability of such systems. For conventional Hopfield neural networks with constant delays, some new criteria for their global asymptotic stability are also easily obtained. All the results obtained are generalizations of some recent results reported in the literature for neural networks with constant delays. Numerical examples are also given to show the correctness of our analysis.
| Original language | English |
|---|---|
| Pages (from-to) | 1355-1359 |
| Journal | IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications |
| Volume | 48 |
| Issue number | 11 |
| DOIs | |
| Publication status | Published - Nov 2001 |
Research Keywords
- Interval Hopfield neural networks
- Lyapunov functionals
- Robust stability
- Time delays
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