Lorenzo Fagiano

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 64

Top Venues

CoRR

CDC

IEEE Trans. Control. Syst. Technol.

Autom.

Publications

Sofia Trombini, Edoardo Pasta, Lorenzo Fagiano
On the Kite-Platform Interactions in Offshore Airborne Wind Energy Systems: Frequency Analysis and Control Approach. CoRR (2024)
Federico Maria Vitrò, Marco P. L. Leonesio, Lorenzo Fagiano
Optimal feature rescaling in machine learning based on neural networks. CoRR (2024)
Marco P. L. Leonesio, Lorenzo Fagiano
Scalable Approximate Optimization of Objective Functions Represented by Random Forests. MED (2024)
Lorenzo Sabug, Lorenzo Fagiano, Fredy Ruiz
Sample-Based Trust Region Dynamics in Contextual Global Optimization. IEEE Control. Syst. Lett. 8 (2024)
Danilo Saccani, Lorenzo Fagiano, Melanie N. Zeilinger, Andrea Carron
Model Predictive Control for Multi-Agent Systems Under Limited Communication and Time-Varying Network Topology. CDC (2023)
Pedro Henrique Gomes Dos Santos, Fredy Ruiz, Lorenzo Fagiano
Trajectory Planning for Tethered Robots in Uncertain Environments. CoDIT (2023)
Andrea Carron, Danilo Saccani, Lorenzo Fagiano, Melanie N. Zeilinger
Multi-agent Distributed Model Predictive Control with Connectivity Constraint. CoRR (2023)
Kristoffer Fink Løwenstein, Daniele Bernardini, Lorenzo Fagiano, Alberto Bemporad
Physics-informed online learning of gray-box models by moving horizon estimation. Eur. J. Control 74 (2023)
Danilo Saccani, Lorenzo Fagiano, Melanie N. Zeilinger, Andrea Carron
Model Predictive Control for Multi-Agent Systems under Limited Communication and Time-Varying Network Topology. CoRR (2023)
Marco Lauricella, Lorenzo Fagiano
Day-Ahead and Intra-Day Building Load Forecast With Uncertainty Bounds Using Small Data Batches. IEEE Trans. Control. Syst. Technol. 31 (6) (2023)
Danilo Saccani, Leonardo Cecchin, Lorenzo Fagiano
Multitrajectory Model Predictive Control for Safe UAV Navigation in an Unknown Environment. IEEE Trans. Control. Syst. Technol. 31 (5) (2023)
Tareg Mohammed, Lorenzo Fagiano
Fault- Tolerant Control of a Tethered Aircraft for Airborne Wind Energy. CCTA (2022)
Enrico Terzi, Marcello Farina, Lorenzo Fagiano, Riccardo Scattolini
Robust multi-rate predictive control using multi-step prediction models learned from data. Autom. 136 (2022)
Lorenzo Fagiano, Manfred Quack, Florian Bauer, Lode Carnel, Espen Oland
Autonomous Airborne Wind Energy Systems: Accomplishments and Challenges. Annu. Rev. Control. Robotics Auton. Syst. 5 (2022)
Lorenzo Sabug, Fredy Ruiz, Lorenzo Fagiano
SMGO-Δ: Balancing caution and reward in global optimization with black-box constraints. Inf. Sci. 605 (2022)
Michele Bolognini, Danilo Saccani, Fabrizio Cirillo, Lorenzo Fagiano
Autonomous navigation of interconnected tethered drones in a partially known environment with obstacles. CDC (2022)
Raffaele Galbiati, Lorenzo Sabug, Fredy Ruiz, Lorenzo Fagiano
Direct control design using a Set Membership-based black-box optimization approach. CCTA (2022)
Sofia Paganelli, Ilhan Yunus, Lorenzo Fagiano
Comfort-Aware Trajectory Planning in Autonomous Driving via Multi-Objective Nonlinear Model Predictive Control. CCTA (2022)
Marco P. L. Leonesio, Lorenzo Fagiano
A semi-supervised physics-informed classifier for centerless grinding operations. CCTA (2022)
Andrea Berra, Lorenzo Fagiano
An optimal reeling control strategy for pumping airborne wind energy systems without wind speed feedback. CoRR (2021)
Danilo Saccani, Lorenzo Fagiano
Autonomous UAV Navigation in an Unknown Environment via Multi-Trajectory Model Predictive Control. ECC (2021)
Enrico Terzi, Lorenzo Fagiano, Marcello Farina, Riccardo Scattolini
Robust multi-rate predictive control using multi-step prediction models learned from data. CoRR (2021)
Lorenzo Sabug, Fredy Ruiz, Lorenzo Fagiano
Trading-off safety, exploration, and exploitation in learning-based optimization: a Set Membership approach. CDC (2021)
R. Boffadossi, Lorenzo Fagiano, Andrea Cataldo, Marko Tanaskovic, Marco Lauricella
Advanced Hierarchical Predictive Routing Control of a smart de-manufacturing plant. ECC (2021)
Chris Vermillion, Mitchell Cobb, Lorenzo Fagiano, Rachel Leuthold, Moritz Diehl, Roy S. Smith, Tony A. Wood, Sebastian Rapp, Roland Schmehl, David J. Olinger, Michael A. Demetriou
Electricity in the air: Insights from two decades of advanced control research and experimental flight testing of airborne wind energy systems. Annu. Rev. Control. 52 (2021)
Michele Bolognini, Lorenzo Fagiano
A Scalable Hierarchical Path Planning technique for Autonomous Inspections with multicopter drones. ECC (2021)
Leonardo Cecchin, Danilo Saccani, Lorenzo Fagiano
G-BEAM: Graph-Based Exploration And Mapping for Autonomous Vehicles. CCTA (2021)
Lorenzo Sabug, Fredy Ruiz, Lorenzo Fagiano
SMGO: A set membership approach to data-driven global optimization. Autom. 133 (2021)
Andrea Berra, Lorenzo Fagiano
An optimal reeling control strategy for pumping airborne wind energy systems without wind speed feedback. ECC (2021)
Lorenzo Sabug, Fredy Ruiz, Lorenzo Fagiano
On the use of Set Membership theory for global optimization of black-box functions. CDC (2020)
Marco Lauricella, Lorenzo Fagiano
Data-driven filtering for linear systems using Set Membership multistep predictors. CDC (2020)
Lorenzo Fagiano, Marko Tanaskovic, Lenin Cucas Mallitasig, Andrea Cataldo, Riccardo Scattolini
Hierarchical routing control in discrete manufacturing plants via model predictive path allocation and greedy path following. CoRR (2020)
Eduardo Schmidt, Marcelo de Lellis, Ramiro Saraiva, Lorenzo Fagiano, Alexandre Trofino Neto
In-Flight Estimation of the Aerodynamics of Tethered Wings for Airborne Wind Energy. IEEE Trans. Control. Syst. Technol. 28 (4) (2020)
Tariq Samad, Margret Bauer, Scott A. Bortoff, Stefano Di Cairano, Lorenzo Fagiano, Peter Fogh Odgaard, R. Russell Rhinehart, Ricardo S. Sánchez Peña, Atanas Serbezov, Finn Ankersen, Philippe Goupil, Benyamin Grosman, Marcel Heertjes, Iven Mareels, Raye Abdoulie Sosseh
Industry engagement with control research: Perspective and messages. Annu. Rev. Control. 49 (2020)
Davide Todeschini, Lorenzo Fagiano, Claudio Micheli, Aldo Cattano
Control of a Rigid Wing Pumping Airborne Wind Energy System in all Operational Phases. CoRR (2020)
Fabio Bonassi, Alessio La Bella, Lorenzo Fagiano, Riccardo Scattolini, Donato Zarrilli, Pablo Almaleck
Software-in-the-loop testing of a distributed optimal scheduling strategy for microgrids' aggregators. ISGT-Europe (2020)
Michele Bolognini, Lorenzo Fagiano
LiDAR-Based Navigation of Tethered Drone Formations in an Unknown Environment. CoRR (2020)
Marco Lauricella, Lorenzo Fagiano
Set Membership Identification of Linear Systems With Guaranteed Simulation Accuracy. IEEE Trans. Autom. Control. 65 (12) (2020)
Lorenzo Fagiano, Marko Tanaskovic, Lenin Cucas Mallitasig, Andrea Cataldo, Riccardo Scattolini
Hierarchical routing control in discrete manufacturing plants via model predictive path allocation and greedy path following. CDC (2020)
Hafsa Farooqi, Lorenzo Fagiano, Patrizio Colaneri, Davide Barlini
Shrinking horizon parametrized predictive control with application to energy-efficient train operation. Autom. 112 (2020)
Lorenzo Fagiano, Marco Lauricella, Daniele Angelosante, Enrico Ragaini
Identification of Induction Motors Using Smart Circuit Breakers. IEEE Trans. Control. Syst. Technol. 27 (6) (2019)
Marko Tanaskovic, Lorenzo Fagiano, Vojislav Gligorovski
Adaptive model predictive control for linear time varying MIMO systems. Autom. 105 (2019)
Jose R. Salvador, Enrico Terzi, Marcello Farina, Daniel R. Ramírez, Lorenzo Fagiano, David Muñoz de la Peña, Riccardo Scattolini
Learning-based predictive control for MIMO systems. CDC (2019)
Alessio La Bella, Lorenzo Fagiano, Riccardo Scattolini
Set membership estimation of day-ahead microgrids scheduling. ECC (2019)
Enrico Terzi, Lorenzo Fagiano, Marcello Farina, Riccardo Scattolini
Learning-based predictive control for linear systems: A unitary approach. Autom. 108 (2019)
Luca Bugliari Armenio, Lorenzo Fagiano, Enrico Terzi, Marcello Farina, Riccardo Scattolini
Scenario optimization for optimal training of Echo State Networks. CoRR (2019)
Davide Todeschini, Lorenzo Fagiano, Claudio Micheli, Aldo Cattano
Control of vertical take off, dynamic flight and landing of hybrid drones for airborne wind energy systems. ACC (2019)
Alessandro Brusaferri, Lorenzo Fagiano, Matteo Matteucci, Andrea Vitali
Day ahead electricity price forecast by NARX model with LASSO based features selection. INDIN (2019)
Lorenzo Fagiano, Eric Nguyen Van, Felix Rager, Stephan Schnez, Christian Ohler
Autonomous Takeoff and Flight of a Tethered Aircraft for Airborne Wind Energy. IEEE Trans. Control. Syst. Technol. 26 (1) (2018)
Marko Tanaskovic, Lorenzo Fagiano, Vojislav Gligorovski
Adaptive Model Predictive Control for Constrained Time Variying Systems. ECC (2018)
Enrico Terzi, Lorenzo Fagiano, Marcello Farina, Riccardo Scattolini
Learning-based predictive control for linear systems: a unitary approach. CoRR (2018)
Enrico Terzi, Lorenzo Fagiano, Marcello Farina, Riccardo Scattolini
On multi-step prediction models for receding horizon control. CoRR (2018)
Hafsa Farooqi, Lorenzo Fagiano, Patrizio Colaneri
On shrinking horizon move-blocking predictive control. CoRR (2018)
Enrico Terzi, Marcello Farina, Lorenzo Fagiano, Riccardo Scattolini
Robust predictive control with data-based multi-step prediction models. ECC (2018)
Marco Lauricella, Lorenzo Fagiano
On the identification of linear time invariant systems with guaranteed simulation error bounds. CDC (2018)
Enrico Terzi, Lorenzo Fagiano, Marcello Farina, Riccardo Scattolini
Learning multi-step prediction models for receding horizon control. ECC (2018)
Daniele Angelosante, Lorenzo Fagiano, Fabio Grasso, Enrico Ragaini
Motor parameters estimation from industrial electrical measurements. EUSIPCO (2017)
Marko Tanaskovic, Lorenzo Fagiano, Carlo Novara, Manfred Morari
Data-driven control of nonlinear systems: An on-line direct approach. Autom. 75 (2017)
Marko Tanaskovic, Lorenzo Fagiano, Vojislav Gligorovski
Adaptive model predictive control for constrained, linear time varying systems. CoRR (2017)
Aldo U. Zgraggen, Lorenzo Fagiano, Manfred Morari
Automatic Retraction and Full-Cycle Operation for a Class of Airborne Wind Energy Generators. IEEE Trans. Control. Syst. Technol. 24 (2) (2016)
Lorenzo Fagiano, Carlo Novara
Learning a Nonlinear Controller From Data: Theory, Computation, and Experimental Results. IEEE Trans. Autom. Control. 61 (7) (2016)
Lorenzo Fagiano, Eric Nguyen Van, Felix Rager, Stephan Schnez, Christian Ohler
A Small-Scale Prototype to Study the Take-Off of Tethered Rigid Aircrafts for Airborne Wind Energy. CoRR (2016)
Lorenzo Fagiano, Eric Nguyen Van, Felix Rager, Stephan Schnez, Christian Ohler
Autonomous Take-Off and Flight of a Tethered Aircraft for Airborne Wind Energy. CoRR (2016)
Eric Nguyen Van, Lorenzo Fagiano, Stephan Schnez
On the autonomous take-off and landing of tethered wings for airborne wind energy. ACC (2016)
Marko Tanaskovic, Lorenzo Fagiano, Carlo Novara, Manfred Morari
On-line direct data driven controller design approach with automatic update for some of the tuning parameters. CoRR (2015)
Lorenzo Fagiano, Stephan Schnez
On the Take-off of Airborne Wind Energy Systems Based on Rigid Wings. CoRR (2015)
Aldo U. Zgraggen, Lorenzo Fagiano, Manfred Morari
Real-Time Optimization and Adaptation of the Crosswind Flight of Tethered Wings for Airborne Wind Energy. IEEE Trans. Control. Syst. Technol. 23 (2) (2015)
Lorenzo Fagiano, Rudolf Gati
Order Reduction of the Radiative Heat Transfer Model for the Simulation of Plasma Arcs. CoRR (2015)
Eric Nguyen Van, Lorenzo Fagiano, Stephan Schnez
Autonomous take-off and landing of a tethered aircraft: a simulation study. CoRR (2015)
M. Buffoni, B. Galletti, Hans Joachim Ferreau, Lorenzo Fagiano, Mehmet Mercangöz
Active pitch control of tethered wings for airborne wind energy. CDC (2014)
Lorenzo Fagiano, Khanh Huynh, Bassam Bamieh, Mustafa Khammash
On Sensor Fusion for Airborne Wind Energy Systems. IEEE Trans. Control. Syst. Technol. 22 (3) (2014)
Georg Schildbach, Lorenzo Fagiano, Christoph Frei, Manfred Morari
The scenario approach for Stochastic Model Predictive Control with bounds on closed-loop constraint violations. Autom. 50 (12) (2014)
Marko Tanaskovic, Lorenzo Fagiano, Manfred Morari
Worst-case experiment design for constrained MISO systems. CDC (2014)
Aldo U. Zgraggen, Lorenzo Fagiano, Manfred Morari
On modeling and control of the retraction phase for airborne wind energy systems. CDC (2014)
Massimo Canale, Lorenzo Fagiano, Carlo Novara
A DVS-MHE Approach to Vehicle Side-Slip Angle Estimation. IEEE Trans. Control. Syst. Technol. 22 (5) (2014)
Lorenzo Fagiano, Carlo Novara
Learning a nonlinear controller from data: Theory and computation. CDC (2014)
Marko Tanaskovic, Lorenzo Fagiano, Roy S. Smith, Manfred Morari
Adaptive receding horizon control for constrained MIMO systems. Autom. 50 (12) (2014)
Lorenzo Fagiano, Aldo U. Zgraggen, Manfred Morari, Mustafa Khammash
Automatic Crosswind Flight of Tethered Wings for Airborne Wind Energy: Modeling, Control Design, and Experimental Results. IEEE Trans. Control. Syst. Technol. 22 (4) (2014)
Marko Tanaskovic, Lorenzo Fagiano, Manfred Morari
On the optimal worst-case experiment design for constrained linear systems. Autom. 50 (12) (2014)
Marko Tanaskovic, Lawrence Minnetian, Lorenzo Fagiano, Manfred Morari
Experimental testing of an adaptive model predictive controller on a quad-tank system. ECC (2014)
Aldo U. Zgraggen, Lorenzo Fagiano, Manfred Morari
Automatic Retraction and Full Cycle Operation for a Class of Airborne Wind Energy Generators. CoRR (2014)
Lorenzo Fagiano, Aldo U. Zgraggen, Mustafa Khammash, Manfred Morari
On control of tethered wings for airborne wind energy. ACC (2013)
Lorenzo Fagiano, Aldo U. Zgraggen, Mustafa Khammash, Manfred Morari
Automatic control of tethered wings for airborne wind energy: Design and experimental results. ECC (2013)
Lorenzo Fagiano, Carlo Novara
Identification of nonlinear controllers from data: theory and computation. CoRR (2013)
Lorenzo Fagiano, Aldo U. Zgraggen, Manfred Morari, Mustafa Khammash
Automatic crosswind flight of tethered wings for airborne wind energy: modeling, control design and experimental results CoRR (2013)
Lorenzo Fagiano, Trevor Marks
Design of a small-scale prototype for research in airborne wind energy. CoRR (2013)
Aldo U. Zgraggen, Lorenzo Fagiano, Manfred Morari
Real-time Optimization and Adaptation of the Crosswind Flight of Tethered Wings for Airborne Wind Energy. CoRR (2013)
Georg Schildbach, Lorenzo Fagiano, Manfred Morari
Randomized Solutions to Convex Programs with Multiple Chance Constraints. SIAM J. Optim. 23 (4) (2013)
Lorenzo Fagiano, Manfred Morari, Mario Rotea, Greg E. Stewart
Editorial To Tame the Wind: Advanced Control Applications in Wind Energy. IEEE Trans. Control. Syst. Technol. 21 (4) (2013)
Marko Tanaskovic, Lorenzo Fagiano, Roy S. Smith, Manfred Morari
Adaptive model predictive control with exploring property for constrained linear systems that uses basis function model parametrization. CoRR (2013)
Carlo Novara, Lorenzo Fagiano, Mario Milanese
Direct feedback control design for nonlinear systems. Autom. 49 (4) (2013)
Lorenzo Fagiano, Khanh Huynh, Bassam Bamieh, Mustafa Khammash
Sensor fusion for tethered wings in airborne wind energy. ACC (2013)
Marko Tanaskovic, Lorenzo Fagiano, Roy S. Smith, Manfred Morari
Adaptive Model Predictive Control for Constrained MIMO Systems. ALCOSP (2013)
Aldo U. Zgraggen, Lorenzo Fagiano, Manfred Morari
On real-time optimization of airborne wind energy generators. CDC (2013)
Lorenzo Fagiano, Carlo Novara
A combined Moving Horizon and Direct Virtual Sensor approach for constrained nonlinear estimation. Autom. 49 (1) (2013)
Marko Tanaskovic, Lorenzo Fagiano, Roy S. Smith, Paul Goulart, Manfred Morari
Adaptive model predictive control for constrained linear systems. ECC (2013)
Giuseppe Carlo Calafiore, Lorenzo Fagiano
Robust Model Predictive Control via Scenario Optimization. IEEE Trans. Autom. Control. 58 (1) (2013)
Giuseppe Carlo Calafiore, Lorenzo Fagiano
Stochastic model predictive control of LPV systems via scenario optimization. Autom. 49 (6) (2013)
Lorenzo Fagiano, Andrew R. Teel
Generalized terminal state constraint for model predictive control. Autom. 49 (9) (2013)
Lorenzo Fagiano, Andrew R. Teel
On generalized terminal state constraints for model predictive control CoRR (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lorenzo Fagiano