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...
Enregistré dans:
| Auteurs principaux: | , |
|---|---|
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI AG
2025-09-01
|
| Collection: | Aerospace |
| Sujets: | |
| Accès en ligne: | https://www.mdpi.com/2226-4310/12/9/816 |
| Tags: |
Pas de tags, Soyez le premier à ajouter un tag!
|