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ORCIDSjoerd Boersma
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2020 – today
- 2024
[j2]Jan Lorenz Svensen, Xiaodong Cheng, Sjoerd Boersma, Cong Cong Sun
:
Chance-constrained stochastic MPC of greenhouse production systems with parametric uncertainty. Comput. Electron. Agric. 217: 108578 (2024)- [c13]Sjoerd Boersma, Xiaodong Cheng:
A Bayesian Neural ODE for a Lettuce Greenhouse. CCTA 2024: 782-786 - [i3]Bart van Laatum, Eldert J. van Henten, Sjoerd Boersma:
GreenLight-Gym: A Reinforcement Learning Benchmark Environment for Greenhouse Crop Production Control. CoRR abs/2410.05336 (2024) - 2023
- [j1]Bernardo Morcego, Wenjie Yin, Sjoerd Boersma, Eldert J. van Henten, Vicenç Puig, Cong Cong Sun:
Reinforcement Learning versus Model Predictive Control on greenhouse climate control. Comput. Electron. Agric. 215: 108372 (2023) - 2021
- [c12]Wiktor Jakowluk, Sjoerd Boersma:
Fractional-Order Nonlinear System Identification Using MPC Technique. CISIM 2021: 381-393 - [c11]Sjoerd Boersma, Luigi Vanfretti, Abdelkrim Benchaib:
Enhanced LMI-based Damping Control in Power Networks through a High Voltage Direct Current Line. ECC 2021: 2098-2103 - [c10]Rayane Mourouvin, Jing Dai, Sjoerd Boersma, Seddik Bacha, Didier Georges, Abdelkrim Benchaib:
Model Predictive Control for AC/DC Energy Management of a Modular Multilevel Converter Operated in Grid-Forming Mode. ECC 2021: 2110-2115 - [i2]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) - 2020
- [c9]Jeroen Verheugd, Paulo Roberto de Oliveira da Costa, Reza Refaei Afshar, Yingqian Zhang, Sjoerd Boersma:
Predicting Water Pipe Failures with a Recurrent Neural Hawkes Process Model. SMC 2020: 2628-2633 - [i1]Valentijn van de Scheur, Sjoerd Boersma:
A Distributed Model Predictive Wind Farm Controller for Active Power Control. CoRR abs/2007.05621 (2020)
2010 – 2019
- 2019
- [c8]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 - [c7]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 - 2018
- [c6]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 - 2017
- [c5]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 - [c4]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 - [c3]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
- [c2]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 - [c1]Sjoerd Boersma, Anton Korniienko, Khaled Laib, Jan-Willem van Wingerden:
Robust performance analysis for a range of frequencies. ACC 2016: 5664-5670
Coauthor Index
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