Real-time system identification using deep learning for linear processes with application to unmanned aerial vehicles

Mohamad Chehadeh; Mohammad I. Awad; Yahya Zweiri; Abdulla Ayyad

doi:10.1109/ACCESS.2020.3006277

Real-time system identification using deep learning for linear processes with application to unmanned aerial vehicles

Mohamad Chehadeh
, Mohammad I. Awad
, Yahya Zweiri
, Abdulla Ayyad

Research output: Contribution to journal › Article › peer-review

3 Downloads (Pure)

Original language	English
Pages (from-to)	122539-122553
Journal	IEEE Access
Volume	8
Early online date	1 Jul 2020
DOIs	https://doi.org/10.1109/ACCESS.2020.3006277
Publication status	Published - 16 Jul 2020

Bibliographical note

Note: This work was supported by Khalifa University of Science and Technology under Award No. RC1-2018-KUCARS

Keywords

Mechanical, aeronautical and manufacturing engineering

Access to Document

10.1109/ACCESS.2020.3006277

Zweiri-Y-45915-VoRFinal published version, 1.78 MBLicence: CC BY

https://doi.org/10.1109/ACCESS.2020.3006277

Cite this

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AU - Ayyad, Abdulla

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