Towards practical reinforcement learning for tokamak magnetic control
Authors:
- Brendan D. TraceyBTBrendan D. Tracey
- Andrea MichiAMAndrea Michi
- Yuri ChervonyiYCYuri Chervonyi
- Ian DaviesIDIan Davies
- Cosmin PaduraruCPCosmin Paduraru
- Nevena LazicNLNevena Lazic
- Federico FeliciFFFederico Felici
- Timo EwaldsTETimo Ewalds
- Craig DonnerCDCraig Donner
- Cristian GalpertiCGCristian Galperti
- Jonas BuchliJBJonas Buchli
- Michael NeunertMNMichael Neunert
Open Access
- 23 January 2024
- journal article
- research article
- Published by Elsevier in Fusion Engineering and Design
- Vol. 200
Abstract
No abstract availableKeywords
All Related Versions
Funding Information
- Euratom Research and Training Programme (101052200 — EUROfusion)
- EUROfusion Consortium Research Institutions
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- Swiss State Secretariat for Education Research and Innovation
This publication has 28 references indexed in Scilit:
- Geometrical properties of a “snowflake” divertorPhysics of Plasmas, 2007
- Stability and energy confinement of highly elongated plasmas in TCVPlasma Physics and Controlled Fusion, 2001
- Real time equilibrium reconstruction for tokamak discharge controlNuclear Fusion, 1998
- Influence of Plasma Shape on Transport in the TCV TokamakPhysical Review Letters, 1997
- Real-Time Control of a Tokamak Plasma Using Neural NetworksNeural Computation, 1995
- Creation and control of variably shaped plasmas in TCVPlasma Physics and Controlled Fusion, 1994
- Fast non-linear extraction of plasma equilibrium parameters using a neural network mappingNuclear Fusion, 1991
- Control of the vertical instability in tokamaksNuclear Fusion, 1990
- FBT - a free-boundary tokamak equilibrium code for highly elongated and shaped plasmasComputer Physics Communications, 1988
- Hydromagnetic equilibria and force-free fieldsJournal of Nuclear Energy (1954), 1958