activity
20192024
most citedAn Add-on Model Predictive Control Strategy for the Energy Management of Hybrid Electric Tractors

33 citations · 43 across the 9 of their papers we have counts for

collaborators

9 papers

eess.SY2024

Semi-automated transmission control for motorcycle gearshift: design, data-driven tuning and experimental validation

Edoardo Catenaro, Giulio Panzani, Davide Sette +1

This brief addresses the gearshifting problem for Semi-Automated Manual Transmissions (S-AMT) in powered two-wheelers, a powertrain setup that allows fast and smooth gear shifts wi…

eess.SY2023★ 2 cited

Battery model impact on time-optimal co-design for electric racing cars: review and application

Giorgio Riva, Stefano Radrizzani, Giulio Panzani

The sustainable mobility trend touches the racing world as well, from the hybridization of Formula 1 (F1) and Le Mans Hypercars to the fully electric Formula E racing class. In thi…

eess.SY2023★ 33 cited

An Add-on Model Predictive Control Strategy for the Energy Management of Hybrid Electric Tractors

Stefano Radrizzani, Giulio Panzani, Luca Trezza +2

The hybridization process has recently touched also the world of agricultural vehicles. Within this context, we develop an Energy Management Strategy (EMS) aiming at optimizing fue…

eess.SY2023★ 6 cited

Virtual-bike emulation in a series-parallel human-powered electric bike

Stefano Radrizzani, Giulio Panzani, Sergio M. Savaresi

Combining the advantages of standard bicycles and electrified vehicles, electric bikes (e-Bikes) are promising vehicles to reduce emission and traffic. The current literature on e-…

eess.SY2023

Handling-Oriented Stiffness Control of a Multichamber Suspension

Gabriele Marini, Giulio Panzani, Matteo Corno +2

This paper deals with the development of a handling-oriented stiffness control strategy using multichamber suspensions. Indeed, being this technology capable of stiffness variabili…

eess.SY2023★ 1 cited

Deep Long-Short Term Memory networks: Stability properties and Experimental validation

Fabio Bonassi, Alessio La Bella, Giulio Panzani +2

The aim of this work is to investigate the use of Incrementally Input-to-State Stable (ISS) deep Long Short Term Memory networks (LSTMs) for the identification of nonlinear dyna…

eess.SY2021★ 1 cited

Advanced control based on Recurrent Neural Networks learned using Virtual Reference Feedback Tuning and application to an Electronic Throttle Body (with supplementary material)

William D'Amico, Marcello Farina, Giulio Panzani

In this paper the application of Virtual Reference Feedback Tuning (VRFT) for control of nonlinear systems with regulators defined by Echo State Networks (ESN) and Long Short Term…

eess.SY2020

Experimental Automatic Calibration of a Semi-Active Suspension Controller via Bayesian Optimization

Gianluca Savaia, Youngil Sohn, Simone Formentin +3

The End-of-Line (EoL) calibration of semi-active suspension systems for road vehicles is usually a critical and expensive task, needing a team of vehicle and control experts as wel…

eess.SP2019

Analysis and development of an automatic eCall for motorcycles: a one-class cepstrum approach

Simone Gelmini, Giulio Panzani, Sergio Savaresi

The automatic dial of an emergency call - eCall - in response to a road accident is a feature that is gaining interest in the intelligent vehicle community. It indirectly increases…