5 citations · 8 across the 8 of their papers we have counts for
10 papers
Data-Driven Stabilization of Continuous-Time LTI Systems from Noisy Input-Output Data
Alessandro Bosso, Marco Borghesi, Andrea Iannelli +2
We present an approach to compute stabilizing controllers for continuous-time linear time-invariant systems directly from an input-output trajectory affected by process and measure…
Input-Output Data-Driven Stabilization of Continuous-Time Linear MIMO Systems
Haihui Gao, Alessandro Bosso, Lei Wang +2
In this paper, we address the problem of data-driven stabilization of continuous-time multi-input multi-output (MIMO) linear time-invariant systems using the input-output data coll…
Data-Driven Control of Continuous-Time LTI Systems via Non-Minimal Realizations
Alessandro Bosso, Marco Borghesi, Andrea Iannelli +2
This article proposes an approach to design output-feedback controllers for unknown continuous-time linear time-invariant systems using only input-output data from a single experim…
On Sufficient Richness for Linear Time-Invariant Systems
Marco Borghesi, Simone Baroncini, Guido Carnevale +2
Persistent excitation (PE) is a necessary and sufficient condition for uniform exponential parameter convergence in several adaptive, identification, and learning schemes. In this…
Derivative-Free Data-Driven Control of Continuous-Time Linear Time-Invariant Systems
Alessandro Bosso, Marco Borghesi, Andrea Iannelli +2
This paper develops a data-driven stabilization method for continuous-time linear time-invariant systems with theoretical guarantees and no need for signal derivatives. The framewo…
MR-ARL: Model Reference Adaptive Reinforcement Learning for Robustly Stable On-Policy Data-Driven LQR
Marco Borghesi, Alessandro Bosso, Giuseppe Notarstefano
This article introduces a novel framework for data-driven linear quadratic regulator (LQR) design. First, we introduce a reinforcement learning paradigm for on-policy data-driven L…
Low-Input Accurate Periodic Motion of an Underactuated Mechanism: Mass Distribution and Nonlinear Spring Shaping
Andrea Tilli, Elena Ruggiano, Alessandro Bosso +1
This work presents a control-oriented structural design approach for a 2-DOF underactuated mechanical system, with the purpose of generating an optimal oscillatory behavior of the…
Periodic Motion Optimization for an Underactuated Mechanical System through Synergistic Structure-Control Design
Andrea Tilli, Alessandro Bosso, Elena Ruggiano +1
In this work, we present the integrated structure-control design of a 2-DOF underactuated mechanical system, aiming to achieve a periodic motion of the end-effector. The desired be…
A Semi-global Hybrid Sensorless Observer for Permanent Magnets Synchronous Machines with Unknown Mechanical Model
Alessandro Bosso, Ilario A. Azzollini, Andrea Tilli
In this paper, we present a hybrid sensorless observer for Permanent Magnets Synchronous Machines, with no a priori knowledge of the mechanical dynamics and without the typical ass…
A Robust Sensorless Controller-Observer Strategy for PMSMs with Unknown Resistance and Mechanical Model
Alessandro Bosso, Andrea Tilli, Christian Conficoni
In this work, we present a mixed sensorless strategy for Permanent Magnets Synchronous Machines, combining a torque/current controller and an observer for position, speed, flux and…