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 …

In data-driven control, a central question is how to handle noisy data. In this work, we
consider the problem of designing a stabilizing controller for an unknown linear system …

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 …

We present a novel framework for transferring the knowledge from one system (source) to
design a stabilizing controller for a second system (target). Our motivation stems from the …

This work is concerned with developing a data-driven approach for learning control barrier
certificates (CBCs) and associated safety controllers for discrete-time input-affine nonlinear …

We present a robust data-driven control scheme for an unknown linear system model with
bounded process and measurement noise. Instead of depending on a system model in …

We consider the safe control problem of designing a robustly invariant set using only a finite
set of data collected from an unknown input-affine polynomial system in continuous time. We …

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 …

This letter proposes a data-driven framework to synthesize safety controllers for nonlinear
systems with finite input sets and unknown mathematical models. The proposed scheme …

We introduce a compositional data-driven methodology for designing fully-decentralized
safety controllers applicable to large-scale interconnected networks, encompassing …