Sparse prediction of turbulence in time and space
Delft Center for Systems and Control, Delft University of Technology, Mekelweg 2,
2628 CD, Delft, The Netherlands
2 TNO Science and Industry, Stieltjesweg 1, 2628 CK, Delft, The Netherlands
a e-mail: email@example.com
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 Karman turbulence with frozen flow for the case of prediction, reconstruction and control.
© Owned by the authors, published by EDP Sciences, 2010