Search Results for author: Giulio Panzani

Found 7 papers, 0 papers with code

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

no code implementations28 Dec 2023 Giorgio Riva, Stefano Radrizzani, Giulio Panzani

In this work, starting from a thorough review of literature approaches, we define a general optimization framework of minimum lap and race time problems for electric vehicles, suitable to figure out the impact of different modeling choices on both problem structure and optimal variables profiles.

energy management Management

Handling-Oriented Stiffness Control of a Multichamber Suspension

no code implementations17 Apr 2023 Gabriele Marini, Giulio Panzani, Matteo Corno, Samuele Sermisoni, Sergio Matteo Savaresi

This paper deals with the development of a handling-oriented stiffness control strategy using multichamber suspensions.

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

no code implementations6 Apr 2023 Fabio Bonassi, Alessio La Bella, Giulio Panzani, Marcello Farina, Riccardo Scattolini

The aim of this work is to investigate the use of Incrementally Input-to-State Stable ($\delta$ISS) deep Long Short Term Memory networks (LSTMs) for the identification of nonlinear dynamical systems.

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

no code implementations3 Mar 2021 William D'Amico, Marcello Farina, Giulio Panzani

The capability of this class of regulators of constraining the control variable is pointed out and an advanced control scheme that allows to achieve zero steady-state error is presented.

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

no code implementations19 Jul 2019 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.

Time Series Time Series Analysis

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