157 citations · 573 across the 21 of their papers we have counts for
21 papers
Output regulation via input-output data
Andrea Bisoffi, Wenjie Liu, Zhongjie Hu +1
From a multi-input-multi-output (MIMO) discrete-time linear system, we collect input-output data affected by noise in the form of an unknown exosignal and, from these data points (…
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…
Data-driven input-to-state stabilization
Hailong Chen, Andrea Bisoffi, Claudio De Persis
For the class of nonlinear input-affine systems with polynomial dynamics, we consider the problem of designing an input-to-state stabilizing controller with respect to typical exog…
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…
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…
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…
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…
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…
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.…
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…
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…
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…
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…
Global scaling of the heat transport in fusion plasmas
Sara Moradi, Johan Anderson, Michele Romanelli +2
A global heat flux model based on a fractional derivative of plasma pressure is proposed for the heat transport in fusion plasmas. The degree of the fractional derivative of the he…
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…
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…
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…