Contact information

prof. dr. ir. J.W. van Wingerden
full professor
TU Delft / DCSC
Mekelweg 2, 2628 CD Delft, Room 34 C-2-320
T +31 (0)15 27 81720

Tweets by jwvanwingerden Menu

Homepage of Jan-Willem van Wingerden


Software found on this page is allowed to be used for noncommercial (academic) research and educational purposes free of charge. The software as is provided by the author can contain faults, therefore the author make no representations or warranties of any kind. If bugs are detected, contact can be made by e-mail.


blok1 Toolboxes

PBSIDTOOLBOX (Predictor-Based Subspace Identification Toolbox)

The Predictor-Based Subspace Identification Toolbox enables you to perform an batch or recursive identification (in open loop and closed loop) of LTI/LPV/Hammerstein/Wiener systems. For more information about and download of the Predictor-Based Subspace Identification Toolbox can be found by clicking here or go to my github.

External Controller Design Tool for GH Bladed and Simulink

The external controller design tool can build DLL files from Simulink diagrams for GH Bladed. The UPWIND/NREL 5MW models with collective and individual pitch controllers examples are included. The tool requires the programs GH Bladed, Mathworks Matlab with Real-Time Workshop, and Microsoft Visual Studio C++ (Express). Download here.

LTITOOLBOX (LTI System Identification Toolbox)

The LTI System Identification Toolbox for Matlab enables you to perform an identification (in open loop) of linear time-invariant systems. It provides command-line functions for parametric model estimation and subspace model identification in both discrete-time and continuous-time (frequency domain).

This toolbox is originally developed by M. Verhaegen, V. Verdult and N. Bergboer. It is revised to work on newer Matlab versions by I. Houtzager. The toolbox was intended to be delivered with the book "Filtering and System Identification" by M. Verhaegen and V. Verdult, which can be viewed at the publishers website. For more information about and download of the LTI System Identification Toolbox can be found by clicking here.