14 citations · 26 across the 8 of their papers we have counts for
4 papers · 1 filter
Designing Experiments for Data-Driven Control of Nonlinear Systems
Claudio De Persis, Pietro Tesi
In a recent paper we have shown that data collected from linear systems excited by persistently exciting inputs during low-complexity experiments, can be used to design state- and…
On data-driven stabilization of systems with quadratic nonlinearities
Alessandro Luppi, Claudio De Persis, Pietro Tesi
In this paper, we directly design a state feedback controller that stabilizes a class of uncertain nonlinear systems solely based on input-state data collected from a finite-length…
Trade-offs in learning controllers from noisy data
Andrea Bisoffi, Claudio De Persis, Pietro Tesi
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 usi…
Direct data-driven model-reference control with Lyapunov stability guarantees
Valentina Breschi, Claudio De Persis, Simone Formentin +1
In this work, we introduce a novel data-driven model-reference control design approach for unknown linear systems with fully measurable state. The proposed control action is compos…