Abstract
We establish an exponential stability result for a delayed Hopfield neural network. This is proved in case one or more of the activation functions fails to satisfy the standard Lipschitz continuity condition. We use a nonlinear version of Halanay inequality, which we prove here.
| Original language | English |
|---|---|
| Pages (from-to) | 237-247 |
| Number of pages | 11 |
| Journal | Journal of Mathematical Inequalities |
| Volume | 14 |
| Issue number | 1 |
| DOIs | |
| State | Published - 1 Mar 2020 |
Bibliographical note
Publisher Copyright:© ELEMENT, Zagreb.
Keywords
- Exponential stabilization
- Hopfield neural network
- Non-lipschitz continuous activation functions
- Nonlinear halanay inequality
ASJC Scopus subject areas
- Analysis
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