The model predictive control (MPC) scheme funnel MPC enables output tracking of smooth
reference signals with prescribed error bounds for nonlinear multi-input multi-output systems …

To guarantee the safe and dependable operation of a magnetic levitation train, the distance
between the magnet and the reaction rail needs to be kept within a given range. In this work …

We propose a novel learning-based tracking controller for nonlinear systems of arbitrary
relative degree. Here, we use sample-and-hold input signals and derive a bound on the …

We propose a novel sampled-data output-feedback controller for nonlinear systems of
arbitrary relative degree that ensures reference tracking within prescribed error bounds. We …

We propose a two-component data-driven controller to safely perform docking maneuvers
for satellites. Reinforcement Learning is used to deduce an optimal control policy based on …

We propose a model predictive control (MPC) scheme with sampled-data input which
ensures output-reference tracking within prescribed error bounds for relative-degree-one …

Abstract Recently, robust funnel Model Predictive Control (MPC) was introduced, which
consists of model-based funnel MPC and model-free funnel control for its robustification wrt …