The development of control methods based on data has seen a surge of interest in recent
years. When applying data-driven controllers in real-world applications, providing theoretical …

The fundamental lemma by Jan C. Willems and co-workers is deeply rooted in behavioral
systems theory and it has become one of the supporting pillars of the recent progress on …

Data-driven predictive control methods based on the Willems' fundamental lemma have
shown great success in recent years. These approaches use receding horizon predictive …

A powerful result from behavioral systems theory known as the fundamental lemma allows
for predictive control akin to Model Predictive Control (MPC) for linear time-invariant (LTI) …

We present a stochastic output-feedback data-driven predictive control scheme for linear
time-invariant systems subject to bounded additive disturbances and probabilistic chance …

In this work, an adaptive predictive control scheme for linear systems with unknown
parameters and bounded additive disturbances is proposed. In contrast to related adaptive …

We present a Stochastic Model Predictive Control (SMPC) framework for linear systems
subject to Gaussian disturbances. In order to avoid feasibility issues, we employ a recent …

This thesis delves into regularized and nonparametric approaches in system identification
and data-driven control. Classical model-based control design relies on a compact …

Data-Driven Control of Stochastic Linear Systems? A Look Through the Eyes of Wiener, Willems
& Witsenhausen Page 1 Oct 19 2023 Data-Driven Control of Stochastic Linear Systems? A …

Yang, H. and Li, S. 2015. A data-driven predictive controller design based on reduced
Hankel matrix. In 10th Asian Control Conference Coulson, J., Lygeros, J. and Dörfler, F …