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Electronics and Electrical Engineering

D-Index
38
Citations
5334
World Ranking
4959
National Ranking
190

Overview

Marcello Pucci is affiliated with the National Research Council (CNR) in Italy, with a research focus primarily in the field of Engineering. Their work prominently spans several subfields including Electrical and Electronic Engineering, Control and Systems Engineering, Environmental Engineering, Automotive Engineering, and Energy Engineering and Power Technology.

The research topics covered by Marcello Pucci emphasize Sensorless Control of Electric Motors, Electric Motor Design and Analysis, Multilevel Inverters and Converters, Maritime Transport Emissions and Efficiency, Advanced DC-DC Converters, Advanced Battery Technologies Research, and Hybrid Renewable Energy Systems.

Pucci has contributed to a number of papers notable for their presence in selected journals and conference venues. These include:

  • Analytical Formulation of a Maximum Torque per Ampere (MTPA) Technique for SynRMs Considering the Magnetic Saturation, 2020, IEEE Transactions on Industry Applications
  • GA-Based Off-Line Parameter Estimation of the Induction Motor Model Including Magnetic Saturation and Iron Losses, 2020, IEEE Open Journal of Industry Applications
  • Feedback Linearization Based Nonlinear Control of SynRM Drives Accounting for Self- and Cross-Saturation, 2022, IEEE Transactions on Industry Applications
  • Optimal Management of Battery and Fuel Cell-Based Decentralized Generation in DC Shipboard Microgrids, 2023, Energies
  • Input-Output Feedback Linearization Control of a Linear Induction Motor Taking Into Consideration Its Dynamic End-Effects and Iron Losses, 2022, IEEE Transactions on Industry Applications

Marcello Pucci frequently publishes in the following venues:

  • IEEE Transactions on Industry Applications
  • Energies
  • 2022 IEEE Energy Conversion Congress and Exposition (ECCE)
  • IEEE Open Journal of Industry Applications
  • SSRN Electronic Journal

Throughout their career, Pucci has collaborated extensively with several co-authors, including Angelo Accetta, Maria Carmela Di Piazza, Massimiliano Luna, Antonino Sferlazza, and Maurizio Cirrincione. These frequent collaborators highlight a network focused on research in electrical engineering and energy systems.

Best Publications

  • Linear Electric Machines, Drives, and MAGLEVs: An Overview

    Ion Boldea;Lucian Nicolae Tutelea;Wei Xu;Marcello Pucci

  • Neural MPPT Control of Wind Generators With Induction Machines Without Speed Sensors

    Marcello Pucci;Maurizio Cirrincione

  • Model Predictive Control for Shunt Active Filters With Fixed Switching Frequency

    Luca Tarisciotti;Andrea Formentini;Alberto Gaeta;Marco Degano

  • Current Harmonic Compensation by a Single-Phase Shunt Active Power Filter Controlled by Adaptive Neural Filtering

    M. Cirrincione;M. Pucci;G. Vitale;A. Miraoui

  • A Single-Phase DG Generation Unit With Shunt Active Power Filter Capability by Adaptive Neural Filtering

    M. Cirrincione;M. Pucci;G. Vitale

  • A new experimental application of least-squares techniques for the estimation of the induction motor parameters

    M. Cirrincione;M. Pucci;G. Cirrincione;G.-A. Capolino

  • An MRAS-based sensorless high-performance induction motor drive with a predictive adaptive model

    M. Cirrincione;M. Pucci

  • MRAS Speed Observer for High-Performance Linear Induction Motor Drives Based on Linear Neural Networks

    M. Cirrincione;A. Accetta;M. Pucci;G. Vitale

  • Power Converters and AC Electrical Drives with Linear Neural Networks

    Maurizio Cirrincione;Marcello Pucci;Gianpaolo Vitale

  • Neural Sensorless Control of Linear Induction Motors by a Full-Order Luenberger Observer Considering the End Effects

    Angelo Accetta;Maurizio Cirrincione;Marcello Pucci;Gianpaolo Vitale

  • A new adaptive integration methodology for estimating flux in induction machine drives

    M. Cirrincione;M. Pucci;G. Cirrincione;G.-A. Capolino

  • Robust Active Disturbance Rejection Control of Induction Motor Systems Based on Additional Sliding-Mode Component

    Francesco Alonge;Maurizio Cirrincione;Filippo DIppolito;Marcello Pucci

  • Sensorless Control of PMSM Fractional Horsepower Drives by Signal Injection and Neural Adaptive-Band Filtering

    A. Accetta;M. Cirrincione;M. Pucci;G. Vitale

  • Input–Output Feedback Linearization Control With On-Line MRAS-Based Inductor Resistance Estimation of Linear Induction Motors Including the Dynamic End Effects

    Francesco Alonge;Maurizio Cirrincione;Marcello Pucci;Antonino Sferlazza

  • Sensorless Control of Induction Machines by a New Neural Algorithm: The TLS EXIN Neuron

    M. Cirrincione;M. Pucci;G. Cirrincione;G.-A. Capolino

  • A prototype of a fuel cell PEM emulator based on a buck converter

    Giuseppe Marsala;Marcello Pucci;Gianpaolo Vitale;Maurizio Cirrincione

  • An adaptive speed observer based on a new total least-squares neuron for induction machine drives

    M. Cirrincione;M. Pucci;G. Cirrincione;G.-A. Capolino

  • Analytical Versus Neural Real-Time Simulation of a Photovoltaic Generator Based on a DC–DC Converter

    M C Di Piazza;M Pucci;A Ragusa;G Vitale

  • Closed-Loop MRAS Speed Observer for Linear Induction Motor Drives

    Angelo Accetta;Maurizio Cirrincione;Marcello Pucci;Gianpaolo Vitale

  • State Space-Vector Model of Linear Induction Motors

    Marcello Pucci

  • Constrained minimization for parameter estimation of induction motors in saturated and unsaturated conditions

    M. Cirrincione;M. Pucci;G. Cirrincione;G.-A. Capolino

Frequent Co-Authors

Gerard-Andre Capolino
Gerard-Andre Capolino University of Picardie Jules Verne
Abdellatif Miraoui
Abdellatif Miraoui Ministère de l'Enseignement supérieur, de la Recherche scientifique et de l'innovation
Pericle Zanchetta
Pericle Zanchetta University of Nottingham
Ion Boldea
Ion Boldea Polytechnic University of Timişoara
Marco Rivera
Marco Rivera University of Nottingham
Fabio Crescimbini
Fabio Crescimbini Roma Tre University

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