Author

K. Pentland

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Preprint Aug 2026

Real-time virtual circuits for plasma shape control via neural network emulators: integration and testing in the MAST-U PCS

This work describes the integration and testing of neural-network-emulated virtual circuits for plasma shape control within the MAST upgrade PCS environment and demonstrates practical AI-based shape control components for fusion control systems, with direct relevance for upcoming MAST-U experiments and future devices.

Matthew J. Marshall, Edward Jones, G. McArdle et al. · 1 citation · ⚡1

#artificial intelligence Preprint Aug 2026

Real-time virtual circuits for plasma shape control via neural network emulators: experimental demonstration on MAST Upgrade

Conventional plasma shape control in tokamaks relies on virtual circuits (VCs) that are computed offline from linearisations around a small, tailored number of reference equilibria, and deployed as expertly prepared schedules during the discharge. Here, we report on the first experimental deployment of real-time VCs. W...

N. Amorisco, K. Pentland, A. Agnello et al. · 0 citations