We study the application of a data‐enabled predictive control (DeePC) algorithm for position
control of real‐world nano‐quadcopters. The DeePC algorithm is a finite‐horizon, optimal …

This work proposes a novel robust model predictive control (MPC) algorithm for linear
systems affected by dynamic model uncertainty and exogenous disturbances. The …

Robust adaptive model predictive control (RAMPC) is a novel control method that combines
robustness guarantees with respect to unknown parameters and bounded disturbances into …

Online learning algorithms for dynamical systems provide finite time guarantees for control
in the presence of sequentially revealed cost functions. We pose the classical linear …

Quadcopters, popular in consumer and commercial applications, are a perfect testing
ground for both basic and advanced control techniques. This makes them an ideal platform …

The topic of this thesis is data-driven control where the main objective is learning how to
control unknown dynamical systems from data. We focus on both theoretical and practical …

Integration of unmanned aerial vehicles (UAVs) as wireless relays in traditional
telecommunication infrastructures has proved to be effective in mitigating network …