In a pedagogical but exhaustive manner, this survey reviews the main results on input-to-
state stability (ISS) for infinite-dimensional systems. This property allows for the estimation of …

Key plasma physics and real-time control elements needed for robustly stable operation of
high fusion power discharges in ITER have been demonstrated in recent research …

The research program of the TCV tokamak ranges from conventional to advanced-tokamak
scenarios and alternative divertor configurations, to exploratory plasmas driven by …

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 …

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 …

In this paper, we present a block-structured architecture for direct identification of continuous-
time Linear Parameter-Varying (LPV) state-space models. The proposed architecture …

Recent advances in the use of Artificial Intelligence to control complex systems make it
suitable for profile plasma control. In this work, we propose an algorithm based on Deep …

A new robust feedback controller for the safety factor profile and poloidal plasma pressure
parameter has been developed using a two-time-scale data-driven model. The model …

The tokamak, a potential candidate for realizing nuclear fusion energy on Earth, uses strong
magnetic fields to confine a hot ionized gas (plasma) in a toroidal vacuum chamber. The …

Real-time plasma electron density profile estimation and control are essential in the
operation of future tokamaks. In particular, the robustness against diagnostics failure and …