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Disclaimer

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.

Software

blok1 Toolboxes

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.

BILLPVTOOLBOX (Bilinear/LPV System Identification Toolbox)

The Bilinear/LPV Identification Toolbox enables you to perform an identification (in open loop) of bilinear and linear-parameter varying systems. It provides command-line functions for parametric model estimation and subspace model identification in discrete-time. Originally written by Vincent Verdult. For more information about and download of the Bilinear/LPV Identification Toolbox can be found by clicking here.

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.

LRCTOOLBOX (Lifted Repetitive Control Toolbox)

The Lifted Repetitive Control Toolbox enables you to reject repeating periodic disturbances or to track repeating periodic reference signals. For more information about and download of the Lifted Repetitive Control Toolbox can be found by clicking here.

SSSTOOLBOX (Sequentially Semi-Separable Matrix Toolbox)

The Sequentially Semi-Separable Matrix Toolbox defines a new class of matrices with sequentially semi-separable structure. Using the toolbox, the computations of this class of matrices can be done much faster using less memory. Usefull for iterative learning, repetitive and 1D distributed control. For more information about and download of the Sequentially Semi-Separable Matrix Toolbox can be found by clicking here.

MSSSTOOLBOX (Muli-level Sequentially Semi-Separable Matrix Toolbox)

The Muli-level Sequentially Semi-Separable Matrix Toolbox defines a new class of matrices with sequentially semi-separable structure at multiple levels. Using the toolbox, the computations of this class of matrices can be done much faster using less memory. Usefull for 2D distributed control. For more information about and download of the Muli-level Sequentially Semi-Separable Matrix Toolbox can be found by clicking here.

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.

Created by: Ivo Houtzager
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