A new model of heating, current drive, torque and other effects of neutral beam injection on
NSTX-U that uses neural networks has been developed. The model has been trained and …

A controller is designed for the tokamak safety factor profile that takes real-time-varying
operational and physics limits into account. This so-called model predictive controller (MPC) …

In tokamak fusion plasmas, control of the spatial distribution profile of the toroidal plasma
current plays an important role in realizing certain advanced operating scenarios. These …

A model-based approach to real-time reconstruction of the particle density profile in tokamak
plasmas is presented, based on a dynamic state estimator. Traditionally, the density profile …

In this work, model-predictive control (MPC) was combined for the first time with singular
perturbation theory, and an original plasma kinetic control method based on extremely …

Abstract P-EFIT, a GPU parallel equilibrium reconstruction code, is based on the EFIT
framework, but built with the CUDA™(Compute Unified Device Architecture) to take …

The tokamak is a device that utilizes magnetic fields to confine a reactant gas to generate
energy from nuclear fusion reactions. The next step towards the realization of a tokamak …

One of the most promising devices for realizing power production through nuclear fusion is
the tokamak. To maximize performance, it is preferable that tokamak reactors achieve …

This paper describes a real-time capable algorithm for identifying the safe operating region
around a tokamak operating point. The region is defined by a convex set of linear …

DIII-D experimental results are reported to demonstrate the potential of physics-model-
based safety factor profile control for robust and reproducible sustainment of advanced …