Lorenzo Fagiano

About Lorenzo Fagiano

Lorenzo Fagiano, With an exceptional h-index of 40 and a recent h-index of 29 (since 2020), a distinguished researcher at Politecnico di Milano, specializes in the field of Control theory and applications, Systems modelling and identification, Filtering and estimation, Airborne wind energy, Tethered.

His recent articles reflect a diverse array of research interests and contributions to the field:

Modeling and Control of an Airborne Wind Energy Microgrid

A Preliminary Estimation of the Absolute Wind Vector in AWE Systems

Disturbance-Learning Predictive Control of the Ground Station of an Airborne Wind Energy System

Optimal feature rescaling in machine learning based on neural networks

On the Kite-Platform Interactions in Offshore Airborne Wind Energy Systems: Frequency Analysis and Control Approach

Multi-agent distributed model predictive control with connectivity constraint

On the stabilization of forking and cyclic trajectories for nonlinear systems⋆

Physics-informed online learning of gray-box models by moving horizon estimation

Lorenzo Fagiano Information

University

Position

Associate Professor

Citations(all)

5944

Citations(since 2020)

2863

Cited By

4215

hIndex(all)

40

hIndex(since 2020)

29

i10Index(all)

88

i10Index(since 2020)

62

Email

University Profile Page

Google Scholar

Lorenzo Fagiano Skills & Research Interests

Control theory and applications

Systems modelling and identification

Filtering and estimation

Airborne wind energy

Tethered

Top articles of Lorenzo Fagiano

Title

Journal

Author(s)

Publication Date

Modeling and Control of an Airborne Wind Energy Microgrid

Syed Hassan Ahmed

Lorenzo Fagiano

2024

A Preliminary Estimation of the Absolute Wind Vector in AWE Systems

Matteo Bordignon

Lorenzo Fagiano

Alessandro Croce

2024

Disturbance-Learning Predictive Control of the Ground Station of an Airborne Wind Energy System

Tommaso Bonetti

Lorenzo Fagiano

2024

Optimal feature rescaling in machine learning based on neural networks

arXiv preprint arXiv:2402.10964

Federico Maria Vitrò

Manrco Leonesio

Lorenzo Fagiano

2024/2/13

On the Kite-Platform Interactions in Offshore Airborne Wind Energy Systems: Frequency Analysis and Control Approach

arXiv preprint arXiv:2401.05950

Sofia Trombini

Edoardo Pasta

Lorenzo Fagiano

2024/1/11

Multi-agent distributed model predictive control with connectivity constraint

Expert Systems with Applications

Mario Francisco

Y Mezquita

Silvana Revollar

Pastora Vega

Juan F De Paz

2019/9/1

On the stabilization of forking and cyclic trajectories for nonlinear systems⋆

IFAC-PapersOnLine

Nicolas Kessler

Lorenzo Fagiano

2023/1/1

Physics-informed online learning of gray-box models by moving horizon estimation

European Journal of Control

Kristoffer Fink Løwenstein

Daniele Bernardini

Lorenzo Fagiano

Alberto Bemporad

2023/11/1

Automatic Routing Reconfiguration for Fault Tolerance in Smart Manufacturing Plants

IFAC-PapersOnLine

Sonia De Santis

Roberto Boffadossi

Lorenzo Fagiano

2023/1/1

Trajectory Planning for Tethered Robots in Uncertain Environments

Pedro Henrique Gomes Dos Santos

Fredy Ruiz

Lorenzo Fagiano

2023/7/3

A fault-tolerant automatic mission planner for a fleet of aerial vehicles

Control Engineering Practice

Michele Bolognini

Lorenzo Fagiano

Maria Pina Limongelli

2023/6/1

Prediction of power consumption from real process data of an industrial wood chip refining plant

IFAC-PapersOnLine

Roberto Boffadossi

Marco Leonesio

Lorenzo Fagiano

Giacomo Bianchi

2023/1/1

Simultaneous design of passive and active spacecraft attitude control using black-box optimization

Control Engineering Practice

Lorenzo Sabug Jr

Gian Paolo Incremona

Mara Tanelli

Fredy Ruiz

Lorenzo Fagiano

2023/6/1

A Set Membership approach to black-box optimization for time-varying problems

IFAC-PapersOnLine

Lorenzo Sabug Jr

Fredy Ruiz

Lorenzo Fagiano

2023/1/1

Model predictive control for multi-agent systems under limited communication and time-varying network topology

arXiv preprint arXiv:2304.01649

Danilo Saccani

Lorenzo Fagiano

Melanie N Zeilinger

Andrea Carron

2023/4/4

Airborne Wind Energy as part of the European Project MERIDIONAL: the PoliMi contribution

Lorenzo Fagiano

Alessandro Croce

2023

Day-ahead and intra-day building load forecast with uncertainty bounds using small data batches

IEEE Transactions on Control Systems Technology

Marco Lauricella

Lorenzo Fagiano

2023/5/23

On the use of drones for vision-based digitalization, diagnostics and energy efficiency assessment of buildings

Science and Technology for the Built Environment

Kevin Autelitano

Michele Bolognini

Enrico De Angelis

Lorenzo Fagiano

Marco Scaioni

2023/11/26

Production Cycle Optimization for Pumping Airborne Wind Energy

Rodolfo Mathis

Lorenzo Fagiano

2022

SMGO-Δ: Balancing caution and reward in global optimization with black-box constraints

Information Sciences

Lorenzo Sabug Jr

Fredy Ruiz

Lorenzo Fagiano

2022/8/1

See List of Professors in Lorenzo Fagiano University(Politecnico di Milano)

Co-Authors

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