Deep-learning-based neural network training for state estimation enhancement: application to attitude estimation

Mohammad K. Al-Sharman; Yahya Zweiri; Mohammad Abdel Kareem Jaradat; Raghad Al-Husari; Dongming Gan; Lakmal D. Seneviratne

doi:10.1109/TIM.2019.2895495

Deep-learning-based neural network training for state estimation enhancement: application to attitude estimation

Mohammad K. Al-Sharman
, Yahya Zweiri
, Mohammad Abdel Kareem Jaradat
, Raghad Al-Husari
, Dongming Gan
, Lakmal D. Seneviratne

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

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Original language	English
Pages (from-to)	24-34
Journal	IEEE Transactions on Instrumentation and Measurement
Volume	69
Issue number	1
Early online date	18 Feb 2019
DOIs	https://doi.org/10.1109/TIM.2019.2895495
Publication status	Published - 31 Jan 2020

Keywords

Mechanical, aeronautical and manufacturing engineering

Access to Document

10.1109/TIM.2019.2895495

Zweiri-Y-42637-AAMAccepted author manuscript, 2.85 MBLicence: Unspecified

https://doi.org/10.1109/TIM.2019.2895495

Cite this

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title = "Deep-learning-based neural network training for state estimation enhancement: application to attitude estimation",

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author = "Al-Sharman, \{Mohammad K.\} and Yahya Zweiri and Jaradat, \{Mohammad Abdel Kareem\} and Raghad Al-Husari and Dongming Gan and Seneviratne, \{Lakmal D.\}",

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AU - Al-Sharman, Mohammad K.

AU - Zweiri, Yahya

AU - Jaradat, Mohammad Abdel Kareem

AU - Al-Husari, Raghad

AU - Gan, Dongming

AU - Seneviratne, Lakmal D.

PY - 2020/1/31

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KW - Mechanical, aeronautical and manufacturing engineering

U2 - 10.1109/TIM.2019.2895495

DO - 10.1109/TIM.2019.2895495

M3 - Article

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JO - IEEE Transactions on Instrumentation and Measurement

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