M. van Berkel

First name
Last name
van Berkel
Derks, G. L., Kool, B., Vincent, C., Elmore, S., Henderson, S., Koenders, J. T. W., et al. (2024). Development of real-time density feedback control on MAST-U in L-mode. Fusion Engineering And Design, 202, 114387. https://doi.org/10.1016/j.fusengdes.2024.114387 (Original work published 2024)
Kudlacek, O., David, P., Gomez, I., Gräter, A., Sieglin, B., Treutterer, W., et al. (2024). Overview of advances in ASDEX Upgrade plasma control to support critical physics research for ITER and beyond. Nuclear Fusion, 64(5), 056012. https://doi.org/10.1088/1741-4326/ad3472
Derks, G. L., Westerhof, E., van Berkel, M., Jenneskens, J. H., Koenders, J. T. W., Mijin, S., et al. (2024). Multi-machine benchmark of the self-consistent 1D scrape-off layer model DIV1D from stagnation point to target with SOLPS-ITER. Plasma Physics And Controlled Fusion, 66(5), 055004. https://doi.org/10.1088/1361-6587/ad2e37
Bosman, T. O. S. J., Kochl, F., Ho, A., de Baar, M. R., Krishnamoorthy, D., & van Berkel, M. (2023). Integrated model control simulations of the electron density profile and the implications of using multiple hybrid pellet injectors for control. Nuclear Fusion, 63(12), 126047. https://doi.org/10.1088/1741-4326/ad0251
Koenders, J. T. W., Perek, A., Galperti, C., Duval, B. P., Février, O., Theiler, C., & van Berkel, M. (2023). Systematic design of a multi-input multi-output controller by model-based decoupling: a demonstration on TCV using multi-species gas injection. Nuclear Fusion, 63(10), 106007. https://doi.org/10.1088/1741-4326/acee0f
Orrico, C. A., van Berkel, M., Bosman, T. O. S. J., Heemels, W. P. M. H., & Krishnamoorthy, D. (2023). Mixed-integer MPC Strategies for Fueling and Density Control in Fusion Tokamaks. Ieee Control Systems Letters, 7(2023), 1897-1902. https://doi.org/10.1109/LCSYS.2023.3282891
Lang, P. T., van Berkel, M., Biel, W., Bosman, T. O. S. J., David, P., Day, C., et al. (2024). Targeting a Versatile Actuator for EU-DEMO: Real Time Monitoring of Pellet Delivery to Facilitate Burn Control. Fusion Science And Technology, 80, 26-37. https://doi.org/10.1080/15361055.2023.2188932 (Original work published 2024)
van Kampen, R. J. R., van Berkel, M., & Zwart, H. (2023). Estimating Space-Dependent Coefficients for 1D Transport Using Gaussian Processes as State Estimator in the Frequency Domain. Ieee Control Systems Letters, 7, 247-252. https://doi.org/10.1109/LCSYS.2022.3186626 (Original work published 2022)
van Kampen, R. J. R., de Vries, J., Weiland, S., de Baar, M. R., & van Berkel, M. (2023). Fast simultaneous estimation of nD transport coefficients and source function in perturbation experiments. Scientific Reports, 13, 3241. https://doi.org/10.1038/s41598-023-30337-0 (Original work published 2023)
van den Boorn, B. F. H., van Berkel, M., & Bieberle-Hütter, A. (2023). Variance-Based Global Sensitivity Analysis: A Methodological Framework and Case Study for Microkinetic Modeling. Advanced Theory And Simulations, 6(10), 2200615. https://doi.org/10.1002/adts.202200615