Sparse prediction of turbulence in time and space

Conference paper (2010)

Authors

P.R. Fraanje Team Michel Verhaegen - Mechanical, Maritime and Materials Engineering
M.H.G. Verhaegen Team Raf Van de Plas - Mechanical, Maritime and Materials Engineering
Research Group
Team Michel Verhaegen (Mechanical, Maritime and Materials Engineering) (TU Delft)
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Published Date

2010

Language

English

Reuse Rights

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Faculty

Mechanical, Maritime and Materials Engineering

Department

Delft Center for Systems and Control

Research Group

Team Michel Verhaegen

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.