  Active feedback stabilization of the dominant resistive wall mode (RWM) for
an ITER H-mode scenario at high plasma pressure using infinite-horizon model
predictive control (MPC) is presented. The MPC approach is closely-related to
linear-quadratic-Gaussian (LQG) control, improving the performance in the
vicinity of constraints. The control-oriented model for MPC is obtained with
model reduction from a high-dimensional model produced by CarMa code. Due to
the limited time for on-line optimization, a suitable MPC formulation
considering only input (coil voltage) constraints is chosen, and the primal
fast gradient method is used for solving the associated quadratic programming
problem. The performance is evaluated in simulation in comparison to LQG
control. Sensitivity to noise, robustness to changes of unstable RWM dynamics,
and size of the domain of attraction of the initial conditions of the unstable
modes are examined.
