157 citations · 551 across the 47 of their papers we have counts for
10 papers · 1 filter
Data-driven design of safe control for polynomial systems
Alessandro Luppi, Andrea Bisoffi, Claudio De Persis +1
We consider the problem of designing an invariant set using only a finite set of input-state data collected from an unknown polynomial system in continuous time. We consider noisy…
Topology identification of autonomous quantum dynamical networks
Stefano Gherardini, Henk J. van Waarde, Pietro Tesi +1
Topology identification comprises reconstructing the interaction Hamiltonian of a quantum network by properly processing measurements of its density operator within a fixed time in…
Learning controllers for performance through LMI regions
Andrea Bisoffi, Claudio De Persis, Pietro Tesi
In an open-loop experiment, an input sequence is applied to an unknown linear time-invariant system (in continuous or discrete time) affected also by an unknown-but-bounded disturb…
Data-driven control via Petersen's lemma
Andrea Bisoffi, Claudio De Persis, Pietro Tesi
We address the problem of designing a stabilizing closed-loop control law directly from input and state measurements collected in an open-loop experiment. In the presence of noise…
On the Certainty-Equivalence Approach to Direct Data-Driven LQR Design
Florian Dörfler, Pietro Tesi, Claudio De Persis
The linear quadratic regulator (LQR) problem is a cornerstone of automatic control, and it has been widely studied in the data-driven setting. The various data-driven approaches ca…
Online learning of data-driven controllers for unknown switched linear systems
Monica Rotulo, Claudio De Persis, Pietro Tesi
Motivated by the goal of learning controllers for complex systems whose dynamics change over time, we consider the problem of designing control laws for systems that switch among a…