Data-driven stabilization of input-saturated systems

V Breschi, L Zaccarian… - IEEE Control Systems …, 2023 - ieeexplore.ieee.org
We provide a data-driven stabilization approach for input-saturated systems with formal
Lyapunov guarantees. Through a generalized sector condition, we propose a convex design …

On the Design of Regularized Explicit Predictive Controllers From Input–Output Data

V Breschi, A Sassella… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
On the wave of recent advances in data-driven predictive control, we present an explicit
controller that can be constructed from a batch of input/output data only. The proposed …

Recurrent neural network controllers learned using virtual reference feedback tuning with application to an electronic throttle body

W D'Amico, M Farina, G Panzani - 2022 European Control …, 2022 - ieeexplore.ieee.org
In this paper the application of Virtual Reference Feedback Tuning (VRFT) for control of
nonlinear systems with regulators defined by Echo State Networks (ESNs) and Long Short …

Direct data-driven design of neural reference governors

D Masti, V Breschi, S Formentin… - 2020 59th IEEE …, 2020 - ieeexplore.ieee.org
In this paper, we present a direct data-driven approach to synthesize model reference
controllers for constrained nonlinear dynamical systems. To this aim, we employ a …

Direct data-driven control of discrete-time switched systems with input saturation

Q Chen, Y Zhu, X Xu - Discrete and Continuous Dynamical …, 2024 - aimsciences.org
In this paper, the problem of direct data-driven control is studied for a class of discrete-time
switched systems with input saturation. For unknown switched systems, a data-driven …

Direct data-driven control of input saturated systems: a LMI-based approach

F Porcari, V Breschi, L Zaccarian… - arXiv preprint arXiv …, 2023 - arxiv.org
In this paper, we revisit three intricate control challenges in the context of input-saturated
systems, adopting a direct data-driven perspective. Diverging from the traditional two-stage …

Data-driven control of input saturated systems: a LMI-based approach

F Porcari, V Breschi, L Zaccarian, S Formentin - IFAC-PapersOnLine, 2024 - Elsevier
This paper addresses three complex control challenges related to input-saturated systems
from a data-driven perspective. Unlike the traditional two-stage process involving system …

Machine learning methods for control, identification, and estimation

D Masti - 2021 - e-theses.imtlucca.it
Over the last decades, the landscape of control theory and system identification has
changed significantly in response to the new challenges arising from the industry. This is not …