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ORCIDJan-Willem van Wingerden
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2020 – today
- 2024
[j26]Atindriyo Kusumo Pamososuryo
, Sebastiaan Paul Mulders, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
On the Analysis and Synthesis of Wind Turbine Side-Side Tower Load Control via Demodulation. IEEE Trans. Control. Syst. Technol. 32(5): 1865-1880 (2024)- [c67]Daniel van den Berg, Delphine De Tavernier, Jan-Willem van Wingerden:
$\mathcal{H}_{\infty}$ Phase Locking Control for Wave Induced Wake Mixing. ACC 2024: 1051-1056 - [c66]Gijs van der Veen, Jan-Willem van Wingerden:
Subspace predictive control of flexible structures actuated by piezoelectric elements. CCTA 2024: 316-322 - [c65]Marcus Becker, Dries Allaerts, Jan-Willem van Wingerden:
Time-shifted cost function design for more efficient dynamic wind farm flow control. CCTA 2024: 440-445 - [c64]Manuel Lara, Francisco Vázquez, Jan-Willem van Wingerden, Sebastiaan Paul Mulders, Juan Garrido:
Multi-Objective Optimization of Individual Pitch Control for Blade Fatigue Load Reductions for a 15 MW Wind Turbine. ECC 2024: 669-674 - [c63]Aemilius A. W. van Vondelen, Atindriyo Kusumo Pamososuryo, Sachin Tejwant Navalkar, Jan-Willem van Wingerden:
On the Optimal Azimuth Offset for Individual Pitch Control in Aeroelastic Code Coupled with a High-Fidelity Flow Solver. ECC 2024: 2411-2416 - [i35]Rogier Dinkla, Sebastiaan Paul Mulders, Tom Oomen, Jan-Willem van Wingerden:
Closed-loop Data-Enabled Predictive Control and its equivalence with Closed-loop Subspace Predictive Control. CoRR abs/2402.14374 (2024) - [i34]Rogier Dinkla, Tom Oomen, Sebastiaan Paul Mulders, Jan-Willem van Wingerden:
Data-enabled Predictive Repetitive Control. CoRR abs/2408.15210 (2024) - 2023
- [c62]L. J. Huang, Sebastiaan Paul Mulders, E. Taschner, Jan-Willem van Wingerden:
Enhancing Wake Mixing in Wind Farms by Multi-Sine Signals in the Helix Approach. ACC 2023: 824-830 - [c61]Aemilius A. W. van Vondelen, Sachin Tejwant Navalkar, Daan R. H. Kerssemakers, Jan-Willem van Wingerden:
Enhanced wake mixing in wind farms using the Helix approach: A loads sensitivity study. ACC 2023: 831-836 - [c60]Sebastiaan Paul Mulders, L. Brandetti, Fabio Spagnolo, Yichao Liu, P. B. Christensen, Jan-Willem van Wingerden:
A learning algorithm for the calibration of internal model uncertainties in advanced wind turbine controllers: A wind speed measurement-free approach. ACC 2023: 1486-1492 - [c59]Rogier Dinkla, Tom Oomen, Jan-Willem van Wingerden, Sebastiaan Paul Mulders:
Data-Driven LIDAR Feedforward Predictive Wind Turbine Control. CCTA 2023: 559-565 - [c58]Jonas Gutknecht, Marcus Becker, Claudia Muscari, Thorsten Lutz, Jan-Willem van Wingerden:
Scaling DMD modes for modeling Dynamic Induction Control wakes in various wind speeds. CCTA 2023: 574-580 - [c57]Amr Hegazy, Peter Naaijen, Jan-Willem van Wingerden:
Wave Feedforward Control for Large Floating Wind Turbines*. CCTA 2023: 593-598 - [i33]Atindriyo Kusumo Pamososuryo, Sebastiaan Paul Mulders, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
On the Analysis and Synthesis of Wind Turbine Side-Side Tower Load Control via Demodulation. CoRR abs/2309.01633 (2023) - 2022
- [j25]Yichao Liu, Atindriyo Kusumo Pamososuryo, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
The Immersion and Invariance Wind Speed Estimator Revisited and New Results. IEEE Control. Syst. Lett. 6: 361-366 (2022) - [j24]Yichao Liu, Atindriyo Kusumo Pamososuryo, Sebastiaan Paul Mulders, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
The Proportional Integral Notch and Coleman Blade Effective Wind Speed Estimators and Their Similarities. IEEE Control. Syst. Lett. 6: 2198-2203 (2022) - [c56]Jean Gonzalez Silva, Daan C. van der Hoek, Sebastiaan Paul Mulders, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
A Switching Thrust Tracking Controller for Load Constrained Wind Turbines. ACC 2022: 4230-4235 - [c55]Atindriyo Kusumo Pamososuryo, Sebastiaan Paul Mulders, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
Periodic Load Estimation of a Wind Turbine Tower using a Model Demodulation Transformation. ACC 2022: 5271-5276 - [c54]Jan-Willem van Wingerden, Sebastiaan Paul Mulders, Rogier Dinkla, Tom Oomen, Michel Verhaegen:
Data-enabled predictive control with instrumental variables: the direct equivalence with subspace predictive control. CDC 2022: 2111-2116 - [c53]Zhixin Feng, Alexander J. Gallo, Yichao Liu, Atindriyo Kusumo Pamososuryo, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
An Economic Model Predictive Control Approach for Load Mitigation on Multiple Tower Locations of Wind Turbines. CDC 2022: 2425-2430 - [c52]Jean Gonzalez Silva, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
Convex Model Predictive Control for Down-regulation Strategies in Wind Turbines. CDC 2022: 3110-3115 - [i32]Aemilius A. W. van Vondelen, Alexandros Iliopoulos, Sachin Tejwant Navalkar, Daan C. van der Hoek, Jan-Willem van Wingerden:
Damping Identification of an Operational Offshore Wind Turbine using Enhanced Kalman filter-based Subspace Identification. CoRR abs/2201.07531 (2022) - [i31]Jean Gonzalez Silva, Daan C. van der Hoek, Sebastiaan Paul Mulders, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
A Switching Thrust Tracking Controller for Load Constrained Wind Turbines. CoRR abs/2204.05413 (2022) - [i30]Jean Gonzalez Silva, Bart Matthijs Doekemeijer, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
Active power control of wind farms: an instantaneous approach on waked conditions. CoRR abs/2204.05417 (2022) - [i29]Maarten J. van den Broek, Delphine De Tavernier, Benjamin Sanderse, Jan-Willem van Wingerden:
Adjoint Optimisation for Wind Farm Flow Control with a Free-Vortex Wake Model. CoRR abs/2208.11516 (2022) - [i28]Jan-Willem van Wingerden, Sebastiaan Paul Mulders, Rogier Dinkla, Tom Oomen, Michel Verhaegen:
Data-enabled predictive control with instrumental variables: the direct equivalence with subspace predictive control. CoRR abs/2209.05210 (2022) - [i27]Jean Gonzalez Silva, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
Convex Model Predictive Control for Down-regulation Strategies in Wind Turbines. CoRR abs/2209.11087 (2022) - [i26]Zhixin Feng, Alexander J. Gallo, Yichao Liu, Atindriyo Kusumo Pamososuryo, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
An Economic Model Predictive Control Approach for Load Mitigation on Multiple Tower Locations of Wind Turbines. CoRR abs/2209.14848 (2022) - [i25]Maarten J. van den Broek, Daniel van den Berg, Benjamin Sanderse, Jan-Willem van Wingerden:
Optimal Control for Wind Turbine Wake Mixing on Floating Platforms. CoRR abs/2210.17347 (2022) - [i24]Zhixin Feng, Yichao Liu, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
A control-oriented wind turbine dynamic simulation framework which resolves local atmospheric conditions. CoRR abs/2211.00689 (2022) - 2021
- [j23]Yue Qiu, Martin B. van Gijzen, Jan-Willem van Wingerden, Michel Verhaegen, Cornelis Vuik:
Preconditioning Navier-Stokes control using multilevel sequentially semiseparable matrix computations. Numer. Linear Algebra Appl. 28(2) (2021) - [j22]Ping Wu, Riccardo M. G. Ferrari, Yichao Liu, Jan-Willem van Wingerden:
Data-Driven Incipient Fault Detection via Canonical Variate Dissimilarity and Mixed Kernel Principal Component Analysis. IEEE Trans. Ind. Informatics 17(8): 5380-5390 (2021) - [c51]Yichao Liu, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
Periodic Load Rejection for Floating Offshore Wind Turbines via Constrained Subspace Predictive Repetitive Control. ACC 2021: 539-544 - [c50]Daan C. van der Hoek, Michael N. Sinner, Eric Simley, Lucy Y. Pao, Jan-Willem van Wingerden:
Estimation of the Ambient Wind Field From Wind Turbine Measurements Using Gaussian Process Regression. ACC 2021: 558-563 - [c49]Nassir Cassamo, Jan-Willem van Wingerden:
Model Predictive Control for Wake Redirection in Wind Farms: a Koopman Dynamic Mode Decomposition Approach. ACC 2021: 1776-1782 - [c48]Yichao Liu, Atindriyo Kusumo Pamososuryo, Riccardo M. G. Ferrari, Tobias Gybel Hovgaard, Jan-Willem van Wingerden:
Blade Effective Wind Speed Estimation: A Subspace Predictive Repetitive Estimator Approach. ECC 2021: 1205-1210 - [c47]Jean Gonzalez Silva, Bart M. Doekemeijer, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
Active Power Control of Waked Wind Farms: Compensation of Turbine Saturation and Thrust Force Balance. ECC 2021: 1223-1228 - [c46]Karst Brummelhuis, Niranjan Saikumar, Jan-Willem van Wingerden, S. Hassan HosseinNia:
Adaptive Feedforward Control For Reset Feedback Control Systems - Application in Precision Motion Control. ECC 2021: 2450-2457 - [i23]Yichao Liu, Atindriyo Kusumo Pamososuryo, Riccardo M. G. Ferrari, Tobias Gybel Hovgaard, Jan-Willem van Wingerden:
Blade Effective Wind Speed Estimation: A Subspace Predictive Repetitive Estimator Approach. CoRR abs/2104.03185 (2021) - [i22]Jean Gonzalez Silva, Bart M. Doekemeijer, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
Active Power Control of Waked Wind Farms: Compensation of Turbine Saturation and Thrust Force Balance. CoRR abs/2104.03894 (2021) - [i21]Yichao Liu, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
Periodic Load Rejection for Floating Offshore Wind Turbines via Constrained Subspace Predictive Repetitive Control. CoRR abs/2104.04250 (2021) - [i20]Yichao Liu, Atindriyo Kusumo Pamososuryo, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
The Immersion and Invariance Wind Speed Estimator Revisited and New Results. CoRR abs/2104.07696 (2021) - [i19]Steffen Raach, Bart M. Doekemeijer, Sjoerd Boersma, Jan-Willem van Wingerden, Po-Wen Cheng:
Feedforward-Feedback wake redirection for wind farm control. CoRR abs/2104.10737 (2021) - [i18]Yichao Liu, Atindriyo Kusumo Pamososuryo, Sebastiaan Paul Mulders, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
The Proportional Integral Notch and Coleman Blade Effective Wind Speed Estimators and Their Similarities. CoRR abs/2110.00639 (2021) - 2020
- [j21]Bilal Gunes, Jan-Willem van Wingerden, Michel Verhaegen:
Tensor networks for MIMO LPV system identification. Int. J. Control 93(4): 797-811 (2020) - [j20]Mark van de Ruit, Gaia Cavallo, John Lataire, Frans C. T. van der Helm, Winfred Mugge, Jan-Willem van Wingerden, Alfred C. Schouten:
Revealing Time-Varying Joint Impedance With Kernel-Based Regression and Nonparametric Decomposition. IEEE Trans. Control. Syst. Technol. 28(1): 224-237 (2020) - [c45]Yichao Liu, Joeri Frederik, Alessandro Fontanella, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
Adaptive fault accommodation of pitch actuator stuck type of fault in floating offshore wind turbines: a subspace predictive repetitive control approach. ACC 2020: 4077-4082 - [i17]Joeri Frederik, Bart M. Doekemeijer, Sebastiaan Paul Mulders, Jan-Willem van Wingerden:
On wind farm wake mixing strategies using dynamic individual pitch control. CoRR abs/2003.11319 (2020) - [i16]Leif Erik Andersson, Bart M. Doekemeijer, Daan C. van der Hoek, Jan-Willem van Wingerden, Lars Imsland:
Adaptation of Engineering Wake Models using Gaussian Process Regression and High-Fidelity Simulation Data. CoRR abs/2003.13323 (2020) - [i15]Mees Al, Alessandro Fontanella, Daan C. van der Hoek, Yichao Liu, Marco Belloli, Jan-Willem van Wingerden:
Feedforward control for wave disturbance rejection on floating offshore wind turbines. CoRR abs/2004.02931 (2020) - [i14]Jan-Willem van Wingerden, Paul A. Fleming, Tuhfe Göçmen, Irene Eguinoa, B. M. Doekemeijer, K. Dykes, M. Lawson, Eric Simley, J. King, David Astrain, Mikel Iribas, Carlo L. Bottasso, J. Meyers, Steffen Raach, K. Kölle, Gregor Giebel:
Expert Elicitation on Wind Farm Control. CoRR abs/2006.07598 (2020) - [i13]Yichao Liu, Alessandro Fontanella, Ping Wu, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
Fault Detection of the Mooring system in Floating Offshore Wind Turbines based on the Wave-excited Linear Model. CoRR abs/2006.16024 (2020) - [i12]Yichao Liu, Riccardo M. G. Ferrari, Ping Wu, Xiaoli Jiang, Sunwei Li, Jan-Willem van Wingerden:
Fault Diagnosis of the 10MW Floating Offshore Wind Turbine Benchmark: a Mixed Model and Signal-based Approach. CoRR abs/2007.01708 (2020) - [i11]Karst Brummelhuis, Niranjan Saikumar, Jan-Willem van Wingerden, S. Hassan HosseinNia:
Adaptive Feedforward Control For Reset Feedback Control Systems - Application in Precision Motion Control. CoRR abs/2010.16189 (2020) - [i10]Yichao Liu, Ping Wu, Riccardo M. G. Ferrari, Jan-Willem van Wingerden:
Fast Adaptive Fault Accommodation in Floating Offshore Wind Turbines via Model-Based Fault Diagnosis and Subspace Predictive Repetitive Control. CoRR abs/2011.01855 (2020) - [i9]Yichao Liu, Joeri Frederik, Riccardo M. G. Ferrari, Ping Wu, Sunwei Li, Jan-Willem van Wingerden:
Fault-Tolerant Individual Pitch Control of Floating Offshore Wind Turbines via Subspace Predictive Repetitive Control. CoRR abs/2011.02563 (2020)
2010 – 2019
- 2019
- [c44]Bart M. Doekemeijer, Jan-Willem van Wingerden, Paul A. Fleming:
A tutorial on the synthesis and validation of a closed-loop wind farm controller using a steady-state surrogate model. ACC 2019: 2825-2836 - [c43]Sebastiaan Paul Mulders, Jan-Willem van Wingerden:
On the Importance of the Azimuth Offset in a Combined 1P and 2P SISO IPC Implementation for Wind Turbine Fatigue Load Reductions. ACC 2019: 3506-3511 - [c42]Robert Unguran, Vlaho Petrovic, Sjoerd Boersma, Jan-Willem van Wingerden, Lucy Y. Pao, Martin Kühn:
Feedback-feedforward individual pitch control design for wind turbines with uncertain measurements. ACC 2019: 4151-4158 - [c41]Sjoerd Boersma, Bart M. Doekemeijer, Tamás Keviczky, Jan-Willem van Wingerden:
Stochastic Model Predictive Control: uncertainty impact on wind farm power tracking. ACC 2019: 4167-4172 - [c40]Nikolaos Moustakis, Sebastiaan Paul Mulders, Jens Kober, Jan-Willem van Wingerden:
A Practical Bayesian Optimization Approach for the Optimal Estimation of the Rotor Effective Wind Speed. ACC 2019: 4179-4185 - [c39]Bart M. Doekemeijer, Daan C. van der Hoek, Jan-Willem van Wingerden:
Model-based closed-loop wind farm control for power maximization using Bayesian optimization: a large eddy simulation study. CCTA 2019: 284-289 - [i8]Sebastiaan Paul Mulders, Tobias Gybel Hovgaard, Jacob Deleuran Grunnet, Jan-Willem van Wingerden:
Preventing wind turbine tower natural frequency excitation with a quasi-LPV model predictive control scheme. CoRR abs/1905.10158 (2019) - [i7]Joeri Alexis Frederik, Bart Matthijs Doekemeijer, Sebastiaan Paul Mulders, Jan-Willem van Wingerden:
The helix approach: using dynamic individual pitch control to enhance wake mixing in wind farms. CoRR abs/1912.10025 (2019) - 2018
- [j19]Bilal Gunes, Jan-Willem van Wingerden, Michel Verhaegen:
Tensor Nuclear Norm LPV Subspace Identification. IEEE Trans. Autom. Control. 63(11): 3897-3903 (2018) - [j18]Sachin Tejwant Navalkar, Jan-Willem van Wingerden:
Nuclear Norm-Based Recursive Subspace Identification for Wind Turbine Flutter Detection. IEEE Trans. Control. Syst. Technol. 26(3): 890-902 (2018) - [c38]Mehdi Vali, Vlaho Petrovic, Sjoerd Boersma, Jan-Willem van Wingerden, Lucy Y. Pao, Martin Kühn:
Model Predictive Active Power Control of Waked Wind Farms. ACC 2018: 707-714 - [c37]Sebastiaan Paul Mulders, Jan-Willem van Wingerden:
On the Averaging in the Multi-Blade Coordinate Transformations for Wind Turbines: An H∞Model Matching Approach. CCTA 2018: 1631-1637 - [i6]Sebastiaan Paul Mulders, Atindriyo Kusumo Pamososuryo, Gianmarco Emilio Disario, Jan-Willem van Wingerden:
Analysis and optimal individual pitch control decoupling by inclusion of an azimuth offset in the multi-blade coordinate transformation. CoRR abs/1808.08976 (2018) - [i5]Joeri Frederik, Lars Kröger, Gerd Gülker, Jan-Willem van Wingerden:
Data-driven repetitive control: Wind tunnel experiments under turbulent conditions. CoRR abs/1809.04296 (2018) - [i4]Bart M. Doekemeijer, Paul A. Fleming, Jan-Willem van Wingerden:
A tutorial on the synthesis and validation of a closed-loop wind farm controller using a steady-state surrogate model. CoRR abs/1810.12066 (2018) - 2017
- [j17]Bilal Gunes, Jan-Willem van Wingerden, Michel Verhaegen:
Predictor-Based Tensor Regression (PBTR) for LPV subspace identification. Autom. 79: 235-243 (2017) - [j16]Hildo Bijl, Thomas B. Schön, Jan-Willem van Wingerden, Michel Verhaegen:
System identification through online sparse Gaussian process regression with input noise. IFAC J. Syst. Control. 2: 1-11 (2017) - [c36]Sjoerd Boersma, Bart M. Doekemeijer, Pieter M. O. Gebraad, Paul A. Fleming, Jennifer Annoni, Andrew K. Scholbrock, Joeri Alexis Frederik, Jan-Willem van Wingerden:
A tutorial on control-oriented modeling and control of wind farms. ACC 2017: 1-18 - [c35]B. M. Doekemeijer, Sjoerd Boersma, Lucy Y. Pao, Jan-Willem van Wingerden:
Ensemble Kalman filtering for wind field estimation in wind farms. ACC 2017: 19-24 - [c34]Steffen Raach, Jan-Willem van Wingerden, Sjoerd Boersma, David Schlipf, Po-Wen Cheng:
ℋ∞ controller design for closed-loop wake redirection. ACC 2017: 703-708 - 2016
- [j15]Hildo Bijl, Jan-Willem van Wingerden, Thomas B. Schön, Michel Verhaegen:
Mean and variance of the LQG cost function. Autom. 67: 216-223 (2016) - [c33]Sachin Tejwant Navalkar, Jan-Willem van Wingerden:
Nuclear norm-enhanced recursive subspace identification: Closed-loop estimation of rapid variations in system dynamics. ACC 2016: 936-941 - [c32]Mehdi Vali, Jan-Willem van Wingerden, Martin Kühn:
Optimal multivariable individual pitch control for load reduction of large wind turbines. ACC 2016: 3163-3169 - [c31]Sjoerd Boersma, Mehdi Vali, Martin Kühn, Jan-Willem van Wingerden:
Quasi Linear Parameter Varying modeling for wind farm control using the 2D Navier-Stokes equations. ACC 2016: 4409-4414 - [c30]Sjoerd Boersma, Anton Korniienko, Khaled Laib, Jan-Willem van Wingerden:
Robust performance analysis for a range of frequencies. ACC 2016: 5664-5670 - [i3]Hildo Bijl, Thomas B. Schön, Jan-Willem van Wingerden, Michel Verhaegen:
Online Sparse Gaussian Process Training with Input Noise. CoRR abs/1601.08068 (2016) - [i2]Hildo Bijl, Jan-Willem van Wingerden, Thomas B. Schön, Michel Verhaegen:
Mean and variance of the LQG cost function. CoRR abs/1602.02524 (2016) - [i1]Hildo Bijl, Thomas B. Schön, Jan-Willem van Wingerden, Michel Verhaegen:
Gaussian process optimization through sampling from the maximum distribution. CoRR abs/1604.00169 (2016) - 2015
- [j14]Patricio Torres, Jan-Willem van Wingerden, Michel Verhaegen:
PO-MOESP subspace identification of Directed Acyclic Graphs with unknown topology. Autom. 53: 60-71 (2015) - [j13]Patricio Torres, Jan-Willem van Wingerden, Michel Verhaegen:
Hierarchical subspace identification of directed acyclic graphs. Int. J. Control 88(1): 123-137 (2015) - [j12]Patricio Torres, Jan-Willem van Wingerden, Michel Verhaegen:
Output-Error Identification of Large Scale 1D-Spatially Varying Interconnected Systems. IEEE Trans. Autom. Control. 60(1): 130-142 (2015) - [j11]Sachin Tejwant Navalkar, Edwin van Solingen, Jan-Willem van Wingerden:
Wind Tunnel Testing of Subspace Predictive Repetitive Control for Variable Pitch Wind Turbines. IEEE Trans. Control. Syst. Technol. 23(6): 2101-2116 (2015) - [c29]Bilal Gunes, Jan-Willem van Wingerden, Michel Verhaegen:
Tensor regression for LTI subspace identification. ACC 2015: 1131-1136 - [c28]Pieter M. O. Gebraad, Paul A. Fleming, Jan-Willem van Wingerden:
Comparison of actuation methods for wake control in wind plants. ACC 2015: 1695-1701 - [c27]Pieter M. O. Gebraad, Paul A. Fleming, Jan-Willem van Wingerden:
Wind turbine wake estimation and control using FLORIDyn, a control-oriented dynamic wind plant model. ACC 2015: 1702-1708 - [c26]Sachin Tejwant Navalkar, Jan-Willem van Wingerden, Paul A. Fleming, G. A. M. van Kuik:
Integrating robust lidar-based feedforward with feedback control to enhance speed regulation of floating wind turbines. ACC 2015: 3070-3075 - [c25]Edwin van Solingen, Jan-Willem van Wingerden, Jan Beerens:
Integrated yaw design of a downwind two-bladed wind turbine. ACC 2015: 3702-3707 - 2014
- [c24]Pieter M. O. Gebraad, Floris W. Teeuwisse, Jan-Willem van Wingerden, Paul A. Fleming, Shalom D. Ruben, Jason R. Marden, Lucy Y. Pao:
A data-driven model for wind plant power optimization by yaw control. ACC 2014: 3128-3134 - [c23]Paul A. Fleming, Pieter M. O. Gebraad, Matthew J. Churchfield, Jan-Willem van Wingerden, Andrew K. Scholbrock, Patrick J. Moriarty:
Using particle filters to track wind turbine wakes for improved wind plant controls. ACC 2014: 3734-3741 - [c22]Edwin van Solingen, Jan-Willem van Wingerden:
Fixed-structure H∞ control design for linear Individual Pitch Control of two-bladed wind turbines. ACC 2014: 3748-3753 - [c21]Sachin Tejwant Navalkar, Jan-Willem van Wingerden, Edwin van Solingen, Tom Oomen, G. A. M. van Kuik:
Subspace Predictive Repetitive Control for wind turbine load alleviation using trailing edge flaps. ACC 2014: 4422-4427 - [c20]Yue Qiu, Martin B. van Gijzen, Jan-Willem van Wingerden, Michel Verhaegen:
On the application of a novel model order reduction algorithm for sequentially semi-separable matrices to the identification of one-dimensional distributed systems. ECC 2014: 2750-2755 - 2013
- [j10]Justin K. Rice, Jan-Willem van Wingerden:
Fast calculation of the 'ILC norm' in iterative learning control. Int. J. Control 86(6): 1186-1190 (2013) - [j9]Justin K. Rice, Jan-Willem van Wingerden:
Computational Methods for Distributed Control of Heterogeneous Cyclic Interconnection Structures. IEEE Trans. Autom. Control. 58(8): 2136-2142 (2013) - [j8]Ivo Houtzager, Jan-Willem van Wingerden, Michel Verhaegen:
Rejection of Periodic Wind Disturbances on a Smart Rotor Test Section Using Lifted Repetitive Control. IEEE Trans. Control. Syst. Technol. 21(2): 347-359 (2013) - [j7]Pieter M. O. Gebraad, Jan-Willem van Wingerden, Paul A. Fleming, Alan D. Wright:
LPV Identification of Wind Turbine Rotor Vibrational Dynamics Using Periodic Disturbance Basis Functions. IEEE Trans. Control. Syst. Technol. 21(4): 1183-1190 (2013) - [j6]Gijs van der Veen, Jan-Willem van Wingerden, Michel Verhaegen:
Global Identification of Wind Turbines Using a Hammerstein Identification Method. IEEE Trans. Control. Syst. Technol. 21(4): 1471-1478 (2013) - [c19]Pieter M. O. Gebraad, Filip C. van Dam, Jan-Willem van Wingerden:
A model-free distributed approach for wind plant control. ACC 2013: 628-633 - [c18]Edwin van Solingen, Jan-Willem van Wingerden, Patricio Torres, Justin K. Rice, Roeland de Breuker, Michel Verhaegen:
Parameter estimation for spatially interconnected descriptor systems using Sequentially Semi-Separable matrices. ACC 2013: 1657-1662 - [c17]Paul A. Fleming, Jan-Willem van Wingerden, Andrew K. Scholbrock, Gijs van der Veen, Alan D. Wright:
Field testing a wind turbine drivetrain/tower damper using advanced design and validation techniques. ACC 2013: 2227-2234 - [c16]Justin K. Rice, Jan-Willem van Wingerden:
A computational method for boundary estimation and control via the sequentially semi separable approach. ACC 2013: 2600-2605 - 2012
- [j5]Ivo Houtzager, Jan-Willem van Wingerden, Michel Verhaegen:
Recursive Predictor-Based Subspace Identification With Application to the Real-Time Closed-Loop Tracking of Flutter. IEEE Trans. Control. Syst. Technol. 20(4): 934-949 (2012) - 2011
- [j4]Tamás Luspay, Balázs Kulcsár, Jan-Willem van Wingerden, Michel Verhaegen, Jozsef Bokor:
Linear Parameter Varying Identification of Freeway Traffic Models. IEEE Trans. Control. Syst. Technol. 19(1): 31-45 (2011) - [j3]Jan-Willem van Wingerden, Anton Hulskamp, Thanasis Barlas, Ivo Houtzager, Harald Bersee, Gijs van Kuik, Michel Verhaegen:
Two-Degree-of-Freedom Active Vibration Control of a Prototyped "Smart" Rotor. IEEE Trans. Control. Syst. Technol. 19(2): 284-296 (2011) - [c15]Pieter M. O. Gebraad, Jan-Willem van Wingerden, Paul A. Fleming, Alan D. Wright:
LPV subspace identification of the edgewise vibrational dynamics of a wind turbine rotor. CCA 2011: 37-42 - [c14]Ivo Houtzager, Jan-Willem van Wingerden, Michel Verhaegen:
Rejection of periodic wind disturbances on an experimental "smart" rotor section using lifted repetitive control. CCA 2011: 264-271 - [c13]Gijs van der Veen, Jan-Willem van Wingerden, Michel Verhaegen:
Data-driven modelling of wind turbines. ACC 2011: 72-77 - [c12]Pieter M. O. Gebraad, Jan-Willem van Wingerden, Gijs van der Veen, Michel Verhaegen:
LPV subspace identification using a novel nuclear norm regularization method. ACC 2011: 165-170 - [c11]Patricio Torres, Jan-Willem van Wingerden, Michel Verhaegen:
Modeling of the flow in wind farms for total power optimization. ICCA 2011: 963-968 - 2010
- [c10]Gijs van der Veen, Jan-Willem van Wingerden, Michel Verhaegen:
Closed-loop MOESP subspace model identification with parametrisable disturbances. CDC 2010: 2813-2818 - [c9]Jan-Willem van Wingerden, Pieter M. O. Gebraad, Michel Verhaegen:
LPV identification of an aeroelastic flutter model. CDC 2010: 6839-6844
2000 – 2009
- 2009
- [j2]Jan-Willem van Wingerden, Michel Verhaegen:
Subspace identification of Bilinear and LPV systems for open- and closed-loop data. Autom. 45(2): 372-381 (2009) - [c8]Balázs Kulcsár, Jan-Willem van Wingerden, Jianfei Dong, Michel Verhaegen:
Closed-loop Subspace Predictive Control for Hammerstein systems. CDC 2009: 2604-2609 - [c7]Ivo Houtzager, Jan-Willem van Wingerden, Michel Verhaegen:
VARMAX-based closed-loop subspace model identification. CDC 2009: 3370-3375 - [c6]Jan-Willem van Wingerden, Michel Verhaegen:
Closed-loop subspace identification of Hammerstein-Wiener models. CDC 2009: 3637-3642 - [c5]Tamás Luspay, Balázs Kulcsár, Jan-Willem van Wingerden, Michel Verhaegen:
On the identification of LPV traffic flow model. ECC 2009: 1752-1757 - [c4]Jianfei Dong, Balázs Kulcsár, Jan-Willem van Wingerden, Michel Verhaegen:
Closed-loop subspace Predictive Control for Linear Parameter Varying systems (i) - the nominal case. ECC 2009: 2009-2014 - 2008
- [c3]Jan-Willem van Wingerden, Michel Verhaegen:
Subspace identification of multivariable LPV systems: a novel approach. CACSD 2008: 840-845 - [c2]Jan-Willem van Wingerden, Michel Verhaegen:
Subspace IDentification of MIMO LPV systems: The PBSID approach. CDC 2008: 4516-4521 - 2007
- [j1]Federico Felici, Jan-Willem van Wingerden, Michel Verhaegen:
Subspace identification of MIMO LPV systems using a periodic scheduling sequence. Autom. 43(10): 1684-1697 (2007) - [c1]Jan-Willem van Wingerden, Michel Verhaegen:
Subspace identification of bilinear systems using a dedicated input sequence. CDC 2007: 4962-4967
Coauthor Index
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