Inclusion of predictive modeling in NTM control algorithms towards advanced 
integrated control of long-pulse tokamaks

Kong, M.; Sauter, O.; Felici, F.; Galperti, C.; Teplukhina, A.; Vu, T.; Blanken, T. C.; Kudlacek, O.; Maraschek, M.; Poli, E.; Reich, M.; Treutterer, W.; TCV Team; EUROfusion MST1 Team

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Inclusion of predictive modeling in NTM control algorithms towards advanced integrated control of long-pulse tokamaks

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

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

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Poli, E.
Tokamak Theory (TOK), Max Planck Institute for Plasma Physics, Max Planck Society;

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Reich, M.
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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Kong, M., Sauter, O., Felici, F., Galperti, C., Teplukhina, A., Vu, T., et al. (2019). Inclusion of predictive modeling in NTM control algorithms towards advanced integrated control of long-pulse tokamaks. Poster presented at 61st Annual Meeting of the APS Division of Plasma Physics, Fort Lauderdale, FL.

Cite as: https://hdl.handle.net/21.11116/0000-0004-E727-C

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