Data‐enabled predictive control for quadcopters

We study the application of a data‐enabled predictive control (DeePC) algorithm for position control of real‐world nano‐quadcopters. The DeePC algorithm is a finite‐horizon, optimal control method that uses input/output measurements from the system to predict future trajectories without the need for...

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Detalles Bibliográficos
Autores principales: Elokda, Ezzat, Coulson, Jeremy, Beuchat, Paul N., Lygeros, John, Dörfler, Florian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Special Issue Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9291934/
https://www.ncbi.nlm.nih.gov/pubmed/35873094
http://dx.doi.org/10.1002/rnc.5686

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9291934/
https://www.ncbi.nlm.nih.gov/pubmed/35873094
http://dx.doi.org/10.1002/rnc.5686

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