A spatiotemporal estimation framework for real-world LIDAR wind speed measurements

Mercieca, J. orcid.org/0000-0002-9351-3256, Aram, P. orcid.org/0000-0003-4223-2304, Jones, B.L. orcid.org/0000-0002-7465-1389 et al. (1 more author) (2020) A spatiotemporal estimation framework for real-world LIDAR wind speed measurements. IEEE Transactions on Control Systems Technology, 28 (4). pp. 1595-1602. ISSN 1063-6536



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Keywords: Differential-algebraic equations; light detection and ranging (LIDAR); Navier-Stokes equations; partial differential equations; unscented Kalman filter (UKF); wind turbines
  • Accepted: 24 March 2019
  • Published (online): 8 May 2019
  • Published: July 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 23 May 2019 16:04
Last Modified: 03 Dec 2021 11:09
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: https://doi.org/10.1109/tcst.2019.2913134