A general infrastructure for data-driven control design and implementation in tokamaks

Data-driven profile prediction for DIII-D

(2021) Joseph Abbate et al.   NUCLEAR FUSION

Keras2c: A library for converting Keras neural networks to real-time compatible C

(2021) Rory Conlin et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Real-Time and Adaptive Reservoir Computing With Application to Profile Prediction in Fusion Plasma

(2021) Azarakhsh Jalalvand et al.   IEEE Transactions on Neural Networks and Learning Systems

Machine learning control for disruption and tearing mode avoidance

(2020) Yichen Fu et al.   PHYSICS OF PLASMAS

CAKE: Consistent Automatic Kinetic Equilibrium reconstruction

(2020) Z.A. Xing et al.   FUSION ENGINEERING AND DESIGN

Feedback control of stored energy and rotation with variable beam energy and perveance on DIII-D

(2019) M.D. Boyer et al.   NUCLEAR FUSION

Machine learning for disruption warning on Alcator C-Mod, DIII-D, and EAST

(2019) Kevin Joseph Montes et al.   NUCLEAR FUSION

A real-time machine learning-based disruption predictor in DIII-D

(2019) C. Rea et al.   NUCLEAR FUSION

TokSearch: A search engine for fusion experimental data

(2018) B.S. Sammuli et al.   FUSION ENGINEERING AND DESIGN

Real-time-capable prediction of temperature and density profiles in a tokamak using RAPTOR and a first-principle-based transport model

(2018) F. Felici et al.   NUCLEAR FUSION

Profile control simulations and experiments on TCV: a controller test environment and results using a model-based predictive controller

(2017) E. Maljaars et al.   NUCLEAR FUSION

Simulation of profile evolution from ramp-up to ramp-down and optimization of tokamak plasma termination with the RAPTOR code

(2017) A A Teplukhina et al.   PLASMA PHYSICS AND CONTROLLED FUSION

Control of the tokamak safety factor profile with time-varying constraints using MPC

(2015) E. Maljaars et al.   NUCLEAR FUSION

Novel aspects of plasma control in ITER

(2015) D. Humphreys et al.   PHYSICS OF PLASMAS

First-principles-driven model-based current profile control for the DIII-D tokamak via LQI optimal control

(2013) Mark D Boyer et al.   PLASMA PHYSICS AND CONTROLLED FUSION

Non-linear model-based optimization of actuator trajectories for tokamak plasma profile control

(2012) F Felici et al.   PLASMA PHYSICS AND CONTROLLED FUSION

Plasma models for real-time control of advanced tokamak scenarios

(2011) D. Moreau et al.   NUCLEAR FUSION

Real-time physics-model-based simulation of the current density profile in tokamak plasmas

(2011) F. Felici et al.   NUCLEAR FUSION

Predictive Control in Power Electronics and Drives

(2008) P. Cortes et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS