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Maurizio Cirrincione

Maurizio Cirrincione

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
38
Citations
5355
World Ranking
4957
National Ranking
1

Overview

Maurizio Cirrincione is affiliated with the University of the South Pacific in Fiji and has a research focus within engineering, particularly in electrical and electronic engineering and control and systems engineering. Their work encompasses multiple subfields including mechanical engineering, electronic, optical and magnetic materials, and ocean engineering.

Throughout their academic career, Maurizio has contributed to core areas related to sensorless control of electric motors, electric motor design and analysis, multilevel inverters and converters, machine fault diagnosis techniques, microgrid control and optimization, adaptive control of nonlinear systems, and iterative learning control systems.

The following recent papers highlight their research contributions:

  • Disturbance-Observer-Based Complementary Sliding-Mode Speed Control for PMSM Drives: A Super-Twisting Sliding-Mode Observer-Based Approach (2020), published in IEEE Journal of Emerging and Selected Topics in Power Electronics
  • A Comprehensive Review of Conventional and Intelligence-Based Approaches for the Fault Diagnosis and Condition Monitoring of Induction Motors (2022), published in Energies
  • Hermite Neural Network-Based Second-Order Sliding-Mode Control of Synchronous Reluctance Motor Drive Systems (2020), published in Journal of the Franklin Institute
  • Super-Twisting Sliding-Mode Observer-Based Model Reference Adaptive Speed Control for PMSM Drives (2022), published in Journal of the Franklin Institute
  • Microgrids for Green Hydrogen Production for Fuel Cell Buses - A Techno-Economic Analysis for Fiji (2023), published in Energy Conversion and Management

Frequent co-authors in Maurizio Cirrincione's research include:

  • Dhirendran Munith Kumar
  • Marcello Pucci
  • Antonino Sferlazza
  • Adriano Fagiolini
  • Rahul Kumar

Their publications are commonly found in prominent venues such as:

  • IEEE Transactions on Industry Applications
  • Energies
  • IEEE Access
  • 2022 IEEE Energy Conversion Congress and Exposition (ECCE)
  • 2022 25th International Conference on Electrical Machines and Systems (ICEMS)

Best Publications

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

    Marcello Pucci;Maurizio Cirrincione

  • 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

  • The MCA EXIN neuron for the minor component analysis

    G. Cirrincione;M. Cirrincione;J. Herault;S. Van Huffel

  • 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

  • Disturbance-Observer-Based Complementary Sliding-Mode Speed Control for PMSM Drives: A Super-Twisting Sliding-Mode Observer-Based Approach

    Yong-Chao Liu;Salah Laghrouche;Daniel Depernet;Abdesslem Djerdir

  • 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

  • Multiple Constrained MPC Design for Automotive Dry Clutch Engagement

    Mario Pisaturo;Maurizio Cirrincione;Adolfo Senatore

  • 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

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

    Angelo Accetta;Maurizio Cirrincione;Marcello Pucci;Gianpaolo Vitale

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

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

  • Adaptive and Learning Systems for Signal Processing, Communication, and Control

    Giansalvo Cirrincione;Maurizio Cirrincione

Frequent Co-Authors

Marcello Pucci
Marcello Pucci National Research Council (CNR)
Abdellatif Miraoui
Abdellatif Miraoui Ministère de l'Enseignement supérieur, de la Recherche scientifique et de l'innovation
Gerard-Andre Capolino
Gerard-Andre Capolino University of Picardie Jules Verne
Salah Laghrouche
Salah Laghrouche Centre national de la recherche scientifique, CNRS
Vincenzo Franzitta
Vincenzo Franzitta University of Palermo
Qing-Long Han
Qing-Long Han Swinburne University of Technology
Marcelo Godoy Simões
Marcelo Godoy Simões University of Vaasa

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