Sparse prediction of turbulence in time and space
Conference Paper
(2010)
Author(s)
PR Fraanje (TU Delft - Team Shengling Shi)
N. J. Doelman (TNO)
M.H.G. Verhaegen (TU Delft - Team Raf Van de Plas)
Research Group
Team Shengling Shi
DOI related publication
https://doi.org/10.1051/ao4elt/201007004
To reference this document use:
https://resolver.tudelft.nl/uuid:dc35f175-a220-4fd4-bc47-4979c0434dd3
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Publication Year
2010
Language
English
Research Group
Team Shengling Shi
ISBN (electronic)
9782759804962
Abstract
Using a matching pursuit (MP) approach to solve least squares problems with a sparsity constraint sparse controllers are computed to compensate for atmospheric turbulence. The method has been validated by simulation of von Kármán turbulence with frozen flow for the case of prediction, reconstruction and control.
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