The behavioral approach to systems theory, put forward 40 years ago by Jan C. Willems,
takes a representation-free perspective of a dynamical system as a set of trajectories. Till …

This article provides an overview of a new approach to designing controllers for nonlinear
systems using data-driven control. Data-driven control is an important area of research in …

In this work, we propose a data-driven approach to synthesize safety controllers for
continuous-time nonlinear polynomial-type systems with unknown dynamics. The proposed …

This article addresses the problem of data-driven control and stability analysis for networked
control systems (NCSs). The systems considered in this article are assumed to be linear with …

Considering discrete-time linear time-varying systems with unknown dynamics, controllers
guaranteeing bounded closed-loop trajectories, optimal performance, and robustness to …

We consider the design of state feedback control laws for both the switching signal and the
continuous input of an unknown switched linear system, given past noisy input-state …

In the quest to model neuronal function amid gaps in physiological data, a promising
strategy is to develop a normative theory that interprets neuronal physiology as optimizing a …

Motivated by the physical exchange of energy and its dissipation in electro-mechanical
systems, we propose a new fault detection method based on data-driven dissipativity …

This paper considers the stabilization of unknown switched linear systems using data.
Instead of a full system model, we have access to a finite number of trajectories of each of …

This paper studies the problem of online stabilization of an unknown discrete-time linear
time-varying (LTV) system under bounded non-stochastic (potentially adversarial) …