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20152026
most citedData-driven control via Petersen's lemma

157 citations · 573 across the 21 of their papers we have counts for

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17 papers · 1 filter

eess.SY2025

Event-triggered control of nonlinear systems from data

Hailong Chen, Claudio De Persis, Andrea Bisoffi +1

In a recent paper [8], we introduced a data-based approach to design event-triggered controllers for linear systems directly from data. Here, we extend the results in [8] to a clas…

eess.SY2024

Setpoint control of bilinear systems from noisy data

Andrea Bisoffi, Dominiek M. Steeman, Claudio De Persis

We consider the problem of designing a controller for an unknown bilinear system using only noisy input-states data points generated by it. The controller should achieve regulation…

eess.SY2024★ 4 cited

Controller Synthesis from Noisy-Input Noisy-Output Data

Lidong Li, Andrea Bisoffi, Claudio De Persis +1

We consider the problem of synthesizing a dynamic output-feedback controller for a linear system, using solely input-output data corrupted by measurement noise. To handle input-out…

eess.SY2024★ 15 cited

Controller synthesis for input-state data with measurement errors

Andrea Bisoffi, Lidong Li, Claudio De Persis +1

We consider the problem of designing a state-feedback controller for a linear system, based only on noisy input-state data. We focus on input-state data corrupted by measurement er…

eess.SY2023★ 2 cited

Data-driven input-to-state stabilization with respect to measurement errors

Hailong Chen, Andrea Bisoffi, Claudio De Persis

We consider noisy input/state data collected from an experiment on a polynomial input-affine nonlinear system. Motivated by event-triggered control, we provide data-based condition…

eess.SY2021★ 31 cited

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…

eess.SY2021★ 4 cited

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…

eess.SY2021★ 157 cited

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…

eess.SY2021★ 89 cited

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…

eess.SY2020★ 19 cited

A hybrid barrier certificate approach to satisfy linear temporal logic specifications

Andrea Bisoffi, Dimos V. Dimarogonas

In this work we formulate the satisfaction of a (syntactically co-safe) linear temporal logic specification on a physical plant through a recent hybrid dynamical systems formalism.…

eess.SY2020★ 12 cited

Satisfaction of linear temporal logic specifications through recurrence tools for hybrid systems

Andrea Bisoffi, Dimos V. Dimarogonas

In this work we formulate the problem of satisfying a linear temporal logic formula on a linear plant with output feedback, through a recent hybrid systems formalism. We relate thi…

eess.SY2020★ 52 cited

Controller design for robust invariance from noisy data

Andrea Bisoffi, Claudio De Persis, Pietro Tesi

For an unknown linear system, starting from noisy open-loop input-state data collected during a finite-length experiment, we directly design a linear feedback controller that guara…

eess.SY2020★ 69 cited

Data-based stabilization of unknown bilinear systems with guaranteed basin of attraction

Andrea Bisoffi, Claudio De Persis, Pietro Tesi

Motivated by the goal of having a building block in the direct design of data-driven controllers for nonlinear systems, we show how, for an unknown discrete-time bilinear system, t…

eess.SY2019★ 29 cited

Data-based guarantees of set invariance properties

Andrea Bisoffi, Claudio De Persis, Pietro Tesi

For a discrete-time linear system, we use data from a single open-loop experiment to design directly a feedback controller enforcing that a given (polyhedral) set of the state is i…

eess.SY2019★ 11 cited

A Hybrid Controller for Obstacle Avoidance in an n-dimensional Euclidean Space

Soulaimane Berkane, Andrea Bisoffi, Dimos V. Dimarogonas

For a vehicle moving in an -dimensional Euclidean space, we present a construction of a hybrid feedback that guarantees both global asymptotic stabilization of a reference posit…

eess.SY2016★ 39 cited

Global asymptotic stability of a PID control system with Coulomb friction

Andrea Bisoffi, Mauro Da Lio, Andrew R. Teel +1

We propose a model for representing a point mass subject to Coulomb friction in feedback with a PID controller, based on a differential inclusion comprising all the possible magnit…

eess.SY2015★ 2 cited

Global results on reset-induced periodic trajectories of planar systems

Andrea Bisoffi, Fulvio Forni, Mauro Da Lio +1

We study the existence of asymptotically stable periodic trajectories induced by reset feedback. The analysis is developed for a planar system. Casting the problem into the hybrid…