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Fast optimization of the central electron and ion temperature on ASDEX Upgrade based on Iterative Learning Control

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Kudlacek,  O.
Tokamak Scenario Development (E1), Max Planck Institute for Plasma Physics, Max Planck Society;

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Fischer,  R.
Plasma Edge and Wall (E2M), Max Planck Institute for Plasma Physics, Max Planck Society;

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Bonanomi,  N.
Tokamak Scenario Development (E1), Max Planck Institute for Plasma Physics, Max Planck Society;

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Angioni,  C.
Tokamak Scenario Development (E1), Max Planck Institute for Plasma Physics, Max Planck Society;

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Gräter,  A.
Tokamak Scenario Development (E1), Max Planck Institute for Plasma Physics, Max Planck Society;

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Treutterer,  W.
Tokamak Scenario Development (E1), Max Planck Institute for Plasma Physics, Max Planck Society;

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Zehetbauer,  T.
Tokamak Scenario Development (E1), Max Planck Institute for Plasma Physics, Max Planck Society;

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Kudlacek, O., Van Mulders, S., Felici, F., Sauter, O., Fischer, R., Bonanomi, N., et al. (2021). Fast optimization of the central electron and ion temperature on ASDEX Upgrade based on Iterative Learning Control. Talk presented at 13th Technical Meeting on Plasma Control Systems, Data Management and Remote Experiments in Fusion Research. Virtual. 2021-07-05 - 2021-07-08.


Cite as: https://hdl.handle.net/21.11116/0000-0008-D444-C
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