157 citations · 573 across the 21 of their papers we have counts for
5 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…
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…
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…
Obstacle Avoidance via Hybrid Feedback
Soulaimane Berkane, Andrea Bisoffi, Dimos V. Dimarogonas
In this paper we present a hybrid feedback approach to solve the navigation problem of a point mass in the n-dimensional space containing an arbitrary number of ellipsoidal shape o…