2026 Mario Milanese: Mechanical and Aerospace Engineering Researcher – H-Index, Publications & Awards

Overview

Mario Milanese is affiliated with the Polytechnic University of Turin in Italy. Their research primarily focuses on the field of Engineering, with significant contributions in subfields such as Control and Systems Engineering, Aerospace Engineering, Astronomy and Astrophysics, Global and Planetary Change, and Artificial Intelligence.

The scientist's body of work covers several main topics, including:

Control Systems and Identification
Fault Detection and Control Systems
Advanced Control Systems Optimization
Spacecraft Dynamics and Control
Inertial Sensor and Navigation
Space Satellite Systems and Control
Adaptive Control of Nonlinear Systems

Milanese has published research extensively in several venues, frequently appearing in:

arXiv (Cornell University)
IFAC-PapersOnLine
Acta Astronautica
International Journal of Control
Aerospace Science and Technology

Notable recent papers include:

"A time-varying SIRD model for the COVID-19 contagion in Italy" (2020), published in Annual Reviews in Control
"A Modified SIR Model for the COVID-19 Contagion in Italy" (2020), published by Cineca Institutional Research Information System (Tor Vergata University)
"The LISA DFACS: A nonlinear model for the spacecraft dynamics" (2020), published in Aerospace Science and Technology
"The LISA DFACS: Model Predictive Control design for the test mass release phase" (2022), published in Acta Astronautica
"Design of experiments for nonlinear system identification: A set membership approach" (2020), published in Automatica

Frequent co-authors collaborating with Milanese include:

Michele Pagone
Mattia Boggio
Giuseppe C. Calafiore
Cesare Donati
Martina Mammarella

Best Publications

Optimal algorithms theory for robust estimation and prediction

M. Milanese;R. Tempo

303
Citations
Set Membership identification of nonlinear systems

Mario Milanese;Carlo Novara

299
Citations
Semi-Active Suspension Control Using “Fast” Model-Predictive Techniques

M. Canale;M. Milanese;C. Novara

284
Citations
High Altitude Wind Energy Generation Using Controlled Power Kites

M. Canale;L. Fagiano;M. Milanese

268
Citations
Power Kites for Wind Energy Generation [Applications of Control]

Massimo Canale;Lorenzo Fagiano;Mario Milanese

170
Citations
Robust vehicle yaw control using an active differential and IMC techniques

Massimo Canale;Lorenzo Fagiano;Mario Milanese;P. Borodani

166
Citations
Combined Automatic Lane-Keeping and Driver's Steering Through a 2-DOF Control Strategy

V. Cerone;M. Milanese;D. Regruto

157
Citations
Airborne Wind Energy: An overview

L. Fagiano;M. Milanese

156
Citations
KiteGen : A revolution in wind energy generation

Massimo Canale;Lorenzo Fagiano;Mario Milanese

148
Citations
Information-based complexity and nonparametric worst-case system identification

M. Milanese;A. Vicino

132
Citations
Optimization of airborne wind energy generators

Lorenzo Fagiano;Lorenzo Fagiano;Mario Milanese;Dario Piga

128
Citations
H/sub /spl infin// identification and model quality evaluation

L. Giarre;M. Milanese;M. Taragna

128
Citations
Set Membership approximation theory for fast implementation of Model Predictive Control laws

M. Canale;L. Fagiano;M. Milanese

121
Citations
Robust analysis and design of control systems using interval arithmetic

S. Malan;M. Milanese;M. Taragna

116
Citations
Control of tethered airfoils for a new class of wind energy generator

M. Canale;L. Fagiano;M. Ippolito;M. Milanese

114
Citations
Optimality of central and projection algorithms for bounded uncertainty

B Z Kacewitcz;M Milanese;R Tempo;A Vicino

91
Citations
Computation of nonconservative stability perturbation bounds for systems with nonlinearly correlated uncertainties

A. Vicino;A. Tesi;M. Milanese

84
Citations
Conditionally optimal algorithms and estimation of reduced order models

B. Z. Kacewicz;M. Milanese;A. Vicino

73
Citations
Model quality evaluation in set membership identification

L. Giarré;B. Z. Kacewicz;M. Milanese

70
Citations
Yaw Stability Control Design Through a Mixed-Sensitivity Approach

V. Cerone;M. Milanese;D. Regruto

59
Citations

Frequent Co-Authors

Lorenzo Fagiano Polytechnic University of Milan

Antonio Vicino University of Siena

Roberto Tempo Polytechnic University of Turin

Kameshwar Poolla University of California, Berkeley

Sergio M. Savaresi Polytechnic University of Milan

Alberto Tesi University of Florence

Alan F. Hofmann University of California, San Diego

Luigi Barbara University of Bologna

External Links

Personal website of Mario Milanese

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