Learning Aircraft Spin Dynamics from Measurement Data Using Hankel DMDc with Error in Variables
Aircraft spin, a nonlinear phenomenon dominated by unsteady aerodynamics, is difficult to predict. This article proposes a novel approach using Hankel Dynamic Mode Decomposition with Control (HDMDc) to identify an aircraft plant model for spin motion directly from measurement data. A key challenge i...
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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
MDPI AG
2025-09-01
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| Edice: | Aerospace |
| Témata: | |
| On-line přístup: | https://www.mdpi.com/2226-4310/12/9/816 |
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