World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
34
Citations
5106
World Ranking
2822
National Ranking
98

Electronics and Electrical Engineering

D-Index
34
Citations
5064
World Ranking
5785
National Ranking
246

Overview

Marco Lovera is affiliated with the Polytechnic University of Milan in Italy. Their research primarily focuses on Engineering, with specific contributions in Control and Systems Engineering, Aerospace Engineering, and Computer Vision and Pattern Recognition.

The scientist's work covers several subfields, including:

  • Control and Systems Engineering
  • Aerospace Engineering
  • Computer Vision and Pattern Recognition
  • Mechanical Engineering
  • Media Technology

Main research topics addressed by Marco Lovera involve:

  • Adaptive Control of Nonlinear Systems
  • Robotic Path Planning Algorithms
  • Robotics and Sensor-Based Localization
  • Aerospace Engineering and Control Systems
  • Control and Dynamics of Mobile Robots
  • Space Satellite Systems and Control
  • Stability and Control of Uncertain Systems

Marco Lovera has published in various scientific venues, frequently contributing to:

  • IFAC-PapersOnLine
  • Journal of Guidance Control and Dynamics
  • IEEE Control Systems Letters
  • Journal of Physics Conference Series
  • IEEE Transactions on Control Systems Technology

Recent publications include:

  • "A Computer Vision Line-Tracking Algorithm for Automatic UAV Photovoltaic Plants Monitoring Applications," 2020, Energies
  • "Comparison of Control Methods for Trajectory Tracking in Fully Actuated Unmanned Aerial Vehicles," 2020, IEEE Transactions on Control Systems Technology
  • "Anti-windup design for directionality compensation with application to quadrotor UAVs," 2020, IEEE Control Systems Letters
  • "Design and characterization of the 2DoF Drone: a multirotor platform for education and research," 2021, IFAC-PapersOnLine
  • Unnamed paper from 2022 published in IRIS Research product catalog (Sapienza University of Rome)

Frequent co-authors collaborating with Marco Lovera include:

  • Davide Invernizzi
  • Mattia Giurato
  • Simone Panza
  • Salvatore Meraglia
  • Gabriele Roggi

Best Publications

  • Magnetic spacecraft attitude control: a survey and some new results

    Enrico Silani;Marco Lovera

  • Spacecraft attitude control using magnetic actuators

    M. Lovera;A. Astolfi

  • Recursive subspace identification of linear and non-linear Wiener state-space models

    Marco Lovera;Tony Gustafsson;Michel Verhaegen

  • Periodic attitude control techniques for small satellites with magnetic actuators

    M. Lovera;E. De Marchi;S. Bittanti

  • Closed-loop subspace identification methods: an overview

    Gijs van der Veen;Jan-willem van Wingerden;Marco Bergamasco;Marco Lovera

  • Global magnetic attitude control of spacecraft in the presence of gravity gradient

    M. Lovera;A. Astolfi

  • Identification for gain-scheduling: a balanced subspace approach

    M. Lovera;G. Mercere

  • Periodic control of helicopter rotors for attenuation of vibrations in forward flight

    P. Arcara;S. Bittanti;M. Lovera

  • Global Magnetic Attitude Control of Inertially Pointing Spacecraft

    Marco Lovera;Alessandro Astolfi

  • Identification of Linear Models for the Dynamics of a Hovering Quadrotor

    Marco Bergamasco;Marco Lovera

  • Flatness-based control of a quadrotor helicopter via feedforward linearization

    Simone Formentin;Marco Lovera

  • Recursive subspace identification based on instrumental variable unconstrained quadratic optimization

    G. Mercère;S. Lecoeuche;M. Lovera

  • Identification of linear parameter-varying state-space models with application to helicopter rotor dynamics

    Vincent Verdult;Marco Lovera;Michel Verhaegen

  • LPV/LFT modelling and identification: overview, synergies and a case study

    F. Casella;M. Lovera

  • Identification of non-linear parametrically varying models using separable least squares

    F. Previdi;M. Lovera

  • Application of non-normal process capability indices to semiconductor quality control

    S. Bittanti;M. Lovera;L. Moiraghi

  • Optimal Magnetic Momentum Control for Inertially Pointing Spacecraft

    Marco Lovera

  • Identification of a class of non-linear parametrically varying models

    Fabio Previdi;Marco Lovera

  • Bootstrap-based estimates of uncertainty in subspace identification methods

    Sergio Bittanti;Marco Lovera

  • Optimal Discrete-Time Design of Three-Axis Magnetic Attitude Control Laws

    Tiziano Pulecchi;Marco Lovera;Andras Varga

  • Identification of Nonlinear Parametrically Varying Models Using Separable Least Squares

    Fabio Previdi;Marco Lovera

Frequent Co-Authors

Mara Tanelli
Mara Tanelli Polytechnic University of Milan
Sergio Bittanti
Sergio Bittanti Polytechnic University of Milan
Alessandro Astolfi
Alessandro Astolfi King Abdullah University of Science and Technology
Danilo Ardagna
Danilo Ardagna Polytechnic University of Milan
Patrizio Colaneri
Patrizio Colaneri Polytechnic University of Milan
Michel Verhaegen
Michel Verhaegen Delft University of Technology
Thomas Parisini
Thomas Parisini University of Trieste
Gary J. Balas
Gary J. Balas University of Minnesota
Li Zhang
Li Zhang IBM (United States)
Kevin L. Moore
Kevin L. Moore Colorado School of Mines

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