Robust vehicle yaw control using active differential and internal model control techniques. - Massimo Canale; Lorenzo Fagiano; Mario Milanese; Pandeli Borodani (ACC, 2006)

Control of tethered airfoils for a new class of wind energy generator. - Massimo Canale; Lorenzo Fagiano; Massimo Ippolito; Mario Milanese (CDC, 2006)

A robust IMC approach for stability control of 4WS vehicles. - Massimo Canale; Lorenzo Fagiano (ACC, 2007)

KiteGen project: control as key technology for a quantum leap in wind energy generators. - Massimo Canale; Lorenzo Fagiano; Mario Milanese; Massimo Ippolito (ACC, 2007)

Fast implementation of predictive controllers using SM approximation methodologies. - Massimo Canale; Lorenzo Fagiano; Mario Milanese (CDC, 2007)

On the design of linear virtual sensors for low cost vehicle stability control. - Massimo Canale; Lorenzo Fagiano; Fredy Ruiz; Maria Carmela Signorile (CCA, 2008)

A comparison between IMC and Sliding Mode approaches to vehicle yaw control. - Massimo Canale; Lorenzo Fagiano; Antonella Ferrara; Claudio Vecchio (ACC, 2008)

Vehicle yaw control using a fast NMPC approach. - Massimo Canale; Lorenzo Fagiano (CDC, 2008)

On the use of approximated predictive control laws for nonlinear systems. - Massimo Canale; Lorenzo Fagiano; Mario Milanese (CDC, 2008)

A study on the use of virtual sensors in vehicle control. - Massimo Canale; Lorenzo Fagiano; Fredy Ruiz; Maria Carmela Signorile (CDC, 2008)

Vehicle Yaw Control via Second-Order Sliding-Mode Technique. - Massimo Canale; Lorenzo Fagiano; Antonella Ferrara; Claudio Vecchio (IEEE Trans. Ind. Electron., 2008)

Vehicle lateral stability control via approximated NMPC: real-time implementation and software-in-the-loop test. - Massimo Canale; Lorenzo Fagiano; Valentino Razza (CDC, 2009)

Set Membership approximation of discontinuous NMPC laws. - Lorenzo Fagiano; Massimo Canale; Mario Milanese (CDC, 2009)

Set membership approximations of Predictive Control laws: The tradeoff between accuracy and complexity. - Massimo Canale; Lorenzo Fagiano; Mario Milanese; Carlo Novara (ECC, 2009)

Set Membership approximation theory for fast implementation of Model Predictive Control laws. - Massimo Canale; Lorenzo Fagiano; Mario Milanese (Autom., 2009)

Comparing Internal Model Control and Sliding-Mode Approaches for Vehicle Yaw Control. - Massimo Canale; Lorenzo Fagiano; Antonella Ferrara; Claudio Vecchio (IEEE Trans. Intell. Transp. Syst., 2009)

Control of Tethered Airfoils for Sustainable Marine Transportation. - Massimo Canale; Lorenzo Fagiano; Mario Milanese; Valentino Razza (CCA, 2010)

Vehicle Side-slip Angle Estimation using a Direct MH Estimator. - Massimo Canale; Lorenzo Fagiano; Carlo Novara (CCA, 2010)

Vehicle lateral stability using a front steer by wire device and Set Membership Predictive Control techniques. - Massimo Canale; Lorenzo Fagiano; Maria Carmela Signorile (ACC, 2010)

Control of power kites for naval propulsion. - Lorenzo Fagiano; Mario Milanese; Valentino Razza; I. Gerlero (ACC, 2010)

Control as a key technology for a radical innovation in wind energy generation. - Mario Milanese; Lorenzo Fagiano; Dario Piga (ACC, 2010)

A direct Moving Horizon approach to vehicle side-slip angle estimation. - Massimo Canale; Lorenzo Fagiano; Carlo Novara (CDC, 2010)

Efficient Model Predictive Control for Nonlinear Systems via Function Approximation Techniques. - Massimo Canale; Lorenzo Fagiano; Mario Milanese (IEEE Trans. Autom. Control., 2010)

High Altitude Wind Energy Generation Using Controlled Power Kites. - Massimo Canale; Lorenzo Fagiano; Mario Milanese (IEEE Trans. Control. Syst. Technol., 2010)

Direct data-driven inverse control of a power kite for high altitude wind energy conversion. - Carlo Novara; Lorenzo Fagiano; Mario Milanese (CCA, 2011)

Robust model predictive control: The random convex programming approach. - Giuseppe Carlo Calafiore; Lorenzo Fagiano (CACSD, 2011)

Robust model predictive control via random convex programming. - Giuseppe Carlo Calafiore; Lorenzo Fagiano (CDC/ECC, 2011)

On the guaranteed accuracy of Polynomial Chaos Expansions. - Lorenzo Fagiano; Mustafa Khammash; Carlo Novara (CDC/ECC, 2011)

Improvement of Moving Horizon Estimators via Direct Virtual Sensor techniques. - Lorenzo Fagiano; Carlo Novara (CDC/ECC, 2011)

Sparse Set Membership identification of nonlinear functions and application to control of power kites for wind energy conversion. - Carlo Novara; Lorenzo Fagiano; Mario Milanese (CDC/ECC, 2011)

Airborne Wind Energy: An overview. - Lorenzo Fagiano; Mario Milanese (ACC, 2012)

Randomized Model Predictive Control for stochastic linear systems. - Georg Schildbach; Giuseppe Carlo Calafiore; Lorenzo Fagiano; Manfred Morari (ACC, 2012)

Model predictive control of stochastic LPV systems via Random Convex Programs. - Giuseppe Carlo Calafiore; Lorenzo Fagiano (CDC, 2012)

On mixed-integer random convex programs. - Giuseppe Carlo Calafiore; Daniel Lyons; Lorenzo Fagiano (CDC, 2012)

Nonlinear stochastic model predictive control via regularized polynomial chaos expansions. - Lorenzo Fagiano; Mustafa Khammash (CDC, 2012)

DFK control design for nonlinear systems. - Carlo Novara; Lorenzo Fagiano; Mario Milanese (CDC, 2012)

Set membership approximation of discontinuous nonlinear model predictive control laws. - Lorenzo Fagiano; Massimo Canale; Mario Milanese (Autom., 2012)

Simulation of stochastic systems via polynomial chaos expansions and convex optimization - Lorenzo Fagiano; Mustafa Khammash (CoRR, 2012)

On generalized terminal state constraints for model predictive control - Lorenzo Fagiano; Andrew R. Teel (CoRR, 2012)

High-Altitude Wind Energy for Sustainable Marine Transportation. - Lorenzo Fagiano; Mario Milanese; Valentino Razza; Mario Bonansone (IEEE Trans. Intell. Transp. Syst., 2012)

Adaptive Model Predictive Control for Constrained MIMO Systems. - Marko Tanaskovic; Lorenzo Fagiano; Roy S. Smith; Manfred Morari (ALCOSP, 2013)

Sensor fusion for tethered wings in airborne wind energy. - Lorenzo Fagiano; Khanh Huynh; Bassam Bamieh; Mustafa Khammash (ACC, 2013)

On control of tethered wings for airborne wind energy. - Lorenzo Fagiano; Aldo U. Zgraggen; Mustafa Khammash; Manfred Morari (ACC, 2013)

On real-time optimization of airborne wind energy generators. - Aldo U. Zgraggen; Lorenzo Fagiano; Manfred Morari (CDC, 2013)

Automatic control of tethered wings for airborne wind energy: Design and experimental results. - Lorenzo Fagiano; Aldo U. Zgraggen; Mustafa Khammash; Manfred Morari (ECC, 2013)

Adaptive model predictive control for constrained linear systems. - Marko Tanaskovic; Lorenzo Fagiano; Roy S. Smith; Paul Goulart; Manfred Morari (ECC, 2013)

Stochastic model predictive control of LPV systems via scenario optimization. - Giuseppe Carlo Calafiore; Lorenzo Fagiano (Autom., 2013)

A combined Moving Horizon and Direct Virtual Sensor approach for constrained nonlinear estimation. - Lorenzo Fagiano; Carlo Novara (Autom., 2013)

Generalized terminal state constraint for model predictive control. - Lorenzo Fagiano; Andrew R. Teel (Autom., 2013)

Direct feedback control design for nonlinear systems. - Carlo Novara; Lorenzo Fagiano; Mario Milanese (Autom., 2013)

Design of a small-scale prototype for research in airborne wind energy. - Lorenzo Fagiano; Trevor Marks (CoRR, 2013)

Identification of nonlinear controllers from data: theory and computation. - Lorenzo Fagiano; Carlo Novara (CoRR, 2013)

Adaptive model predictive control with exploring property for constrained linear systems that uses basis function model parametrization. - Marko Tanaskovic; Lorenzo Fagiano; Roy S. Smith; Manfred Morari (CoRR, 2013)

Randomized Solutions to Convex Programs with Multiple Chance Constraints. - Georg Schildbach; Lorenzo Fagiano; Manfred Morari (SIAM J. Optim., 2013)

Robust Model Predictive Control via Scenario Optimization. - Giuseppe Carlo Calafiore; Lorenzo Fagiano (IEEE Trans. Autom. Control., 2013)

Editorial To Tame the Wind: Advanced Control Applications in Wind Energy. - Lorenzo Fagiano; Manfred Morari; Mario A. Rotea; Greg E. Stewart (IEEE Trans. Control. Syst. Technol., 2013)

Active pitch control of tethered wings for airborne wind energy. - Marcelo Buffoni; Bernardo Galletti; Hans Joachim Ferreau; Lorenzo Fagiano; Mehmet Mercangöz (CDC, 2014)

Learning a nonlinear controller from data: Theory and computation. - Lorenzo Fagiano; Carlo Novara (CDC, 2014)

Worst-case experiment design for constrained MISO systems. - Marko Tanaskovic; Lorenzo Fagiano; Manfred Morari (CDC, 2014)

On modeling and control of the retraction phase for airborne wind energy systems. - Aldo U. Zgraggen; Lorenzo Fagiano; Manfred Morari (CDC, 2014)

Experimental testing of an adaptive model predictive controller on a quad-tank system. - Marko Tanaskovic; Lawrence Minnetian; Lorenzo Fagiano; Manfred Morari (ECC, 2014)

The scenario approach for Stochastic Model Predictive Control with bounds on closed-loop constraint violations. - Georg Schildbach; Lorenzo Fagiano; Christoph Frei; Manfred Morari (Autom., 2014)

On the optimal worst-case experiment design for constrained linear systems. - Marko Tanaskovic; Lorenzo Fagiano; Manfred Morari (Autom., 2014)

Adaptive receding horizon control for constrained MIMO systems. - Marko Tanaskovic; Lorenzo Fagiano; Roy S. Smith; Manfred Morari (Autom., 2014)

A DVS-MHE Approach to Vehicle Side-Slip Angle Estimation. - Massimo Canale; Lorenzo Fagiano; Carlo Novara (IEEE Trans. Control. Syst. Technol., 2014)

On Sensor Fusion for Airborne Wind Energy Systems. - Lorenzo Fagiano; Khanh Huynh; Bassam Bamieh; Mustafa Khammash (IEEE Trans. Control. Syst. Technol., 2014)

Automatic Crosswind Flight of Tethered Wings for Airborne Wind Energy: Modeling, Control Design, and Experimental Results. - Lorenzo Fagiano; Aldo U. Zgraggen; Manfred Morari; Mustafa Khammash (IEEE Trans. Control. Syst. Technol., 2014)

Order Reduction of the Radiative Heat Transfer Model for the Simulation of Plasma Arcs. - Lorenzo Fagiano; Rudolf Gati (CoRR, 2015)

On the Take-off of Airborne Wind Energy Systems Based on Rigid Wings. - Lorenzo Fagiano; Stephan Schnez (CoRR, 2015)

On-line direct data driven controller design approach with automatic update for some of the tuning parameters. - Marko Tanaskovic; Lorenzo Fagiano; Carlo Novara; Manfred Morari (CoRR, 2015)

Autonomous take-off and landing of a tethered aircraft: a simulation study. - Eric Nguyen Van; Lorenzo Fagiano; Stephan Schnez (CoRR, 2015)

Real-Time Optimization and Adaptation of the Crosswind Flight of Tethered Wings for Airborne Wind Energy. - Aldo U. Zgraggen; Lorenzo Fagiano; Manfred Morari (IEEE Trans. Control. Syst. Technol., 2015)

On the autonomous take-off and landing of tethered wings for airborne wind energy. - Eric Nguyen Van; Lorenzo Fagiano; Stephan Schnez (ACC, 2016)

A Small-Scale Prototype to Study the Take-Off of Tethered Rigid Aircrafts for Airborne Wind Energy. - Lorenzo Fagiano; Eric Nguyen Van; Felix Rager; Stephan Schnez; Christian Ohler (CoRR, 2016)

Autonomous Take-Off and Flight of a Tethered Aircraft for Airborne Wind Energy. - Lorenzo Fagiano; Eric Nguyen Van; Felix Rager; Stephan Schnez; Christian Ohler (CoRR, 2016)

Learning a Nonlinear Controller From Data: Theory, Computation, and Experimental Results. - Lorenzo Fagiano; Carlo Novara (IEEE Trans. Autom. Control., 2016)

Automatic Retraction and Full-Cycle Operation for a Class of Airborne Wind Energy Generators. - Aldo U. Zgraggen; Lorenzo Fagiano; Manfred Morari (IEEE Trans. Control. Syst. Technol., 2016)

Motor parameters estimation from industrial electrical measurements. - Daniele Angelosante; Lorenzo Fagiano; Fabio Grasso; Enrico Ragaini (EUSIPCO, 2017)

Data-driven control of nonlinear systems: An on-line direct approach. - Marko Tanaskovic; Lorenzo Fagiano; Carlo Novara; Manfred Morari (Autom., 2017)

Adaptive model predictive control for constrained, linear time varying systems. - Marko Tanaskovic; Lorenzo Fagiano; Vojislav Gligorovski (CoRR, 2017)

On the identification of linear time invariant systems with guaranteed simulation error bounds. - Marco Lauricella 002; Lorenzo Fagiano (CDC, 2018)

Adaptive Model Predictive Control for Constrained Time Variying Systems. - Marko Tanaskovic; Lorenzo Fagiano; Vojislav Gligorovski (ECC, 2018)

Learning multi-step prediction models for receding horizon control. - Enrico Terzi; Lorenzo Fagiano; Marcello Farina; Riccardo Scattolini (ECC, 2018)

Robust predictive control with data-based multi-step prediction models. - Enrico Terzi; Marcello Farina; Lorenzo Fagiano; Riccardo Scattolini (ECC, 2018)

On multi-step prediction models for receding horizon control. - Enrico Terzi; Lorenzo Fagiano; Marcello Farina; Riccardo Scattolini (CoRR, 2018)

On shrinking horizon move-blocking predictive control. - Hafsa Farooqi; Lorenzo Fagiano; Patrizio Colaneri (CoRR, 2018)

Autonomous Takeoff and Flight of a Tethered Aircraft for Airborne Wind Energy. - Lorenzo Fagiano; Eric Nguyen Van; Felix Rager; Stephan Schnez; Christian Ohler (IEEE Trans. Control. Syst. Technol., 2018)

Control of vertical take off, dynamic flight and landing of hybrid drones for airborne wind energy systems. - Davide Todeschini; Lorenzo Fagiano; Claudio Micheli; Aldo Cattano (ACC, 2019)

Learning-based predictive control for MIMO systems. - Jose R. Salvador; Enrico Terzi; Marcello Farina; Daniel R. Ramírez 001; Lorenzo Fagiano; David Muñoz de la Peña; Riccardo Scattolini (CDC, 2019)

Set membership estimation of day-ahead microgrids scheduling. - Alessio La Bella; Lorenzo Fagiano; Riccardo Scattolini (ECC, 2019)

Day ahead electricity price forecast by NARX model with LASSO based features selection. - Alessandro Brusaferri; Lorenzo Fagiano; Matteo Matteucci; Andrea Vitali (INDIN, 2019)

Adaptive model predictive control for linear time varying MIMO systems. - Marko Tanaskovic; Lorenzo Fagiano; Vojislav Gligorovski (Autom., 2019)

Learning-based predictive control for linear systems: A unitary approach. - Enrico Terzi; Lorenzo Fagiano; Marcello Farina; Riccardo Scattolini (Autom., 2019)

Scenario optimization for optimal training of Echo State Networks. - Luca Bugliari Armenio; Lorenzo Fagiano; Enrico Terzi; Marcello Farina; Riccardo Scattolini (CoRR, 2019)

Identification of Induction Motors Using Smart Circuit Breakers. - Lorenzo Fagiano; Marco Lauricella 002; Daniele Angelosante; Enrico Ragaini (IEEE Trans. Control. Syst. Technol., 2019)

Data-driven filtering for linear systems using Set Membership multistep predictors. - Marco Lauricella 002; Lorenzo Fagiano (CDC, 2020)

Hierarchical routing control in discrete manufacturing plants via model predictive path allocation and greedy path following. - Lorenzo Fagiano; Marko Tanaskovic; Lenin Cucas Mallitasig; Andrea Cataldo; Riccardo Scattolini (CDC, 2020)

On the use of Set Membership theory for global optimization of black-box functions. - Lorenzo Sabug; Fredy Ruiz; Lorenzo Fagiano (CDC, 2020)

Software-in-the-loop testing of a distributed optimal scheduling strategy for microgrids' aggregators. - Fabio Bonassi; Alessio La Bella; Lorenzo Fagiano; Riccardo Scattolini; Donato Zarrilli; Pablo Almaleck (ISGT-Europe, 2020)

Industry engagement with control research: Perspective and messages. - 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; et al. (Annu. Rev. Control., 2020)

Shrinking horizon parametrized predictive control with application to energy-efficient train operation. - Hafsa Farooqi; Lorenzo Fagiano; Patrizio Colaneri; Davide Barlini (Autom., 2020)

LiDAR-Based Navigation of Tethered Drone Formations in an Unknown Environment. - Michele Bolognini; Lorenzo Fagiano (CoRR, 2020)

Control of a Rigid Wing Pumping Airborne Wind Energy System in all Operational Phases. - Davide Todeschini; Lorenzo Fagiano; Claudio Micheli; Aldo Cattano (CoRR, 2020)

Set Membership Identification of Linear Systems With Guaranteed Simulation Accuracy. - Marco Lauricella 002; Lorenzo Fagiano (IEEE Trans. Autom. Control., 2020)

In-Flight Estimation of the Aerodynamics of Tethered Wings for Airborne Wind Energy. - Eduardo Schmidt; Marcelo de Lellis; Ramiro Saraiva; Lorenzo Fagiano; Alexandre Trofino Neto (IEEE Trans. Control. Syst. Technol., 2020)

G-BEAM: Graph-Based Exploration And Mapping for Autonomous Vehicles. - Leonardo Cecchin; Danilo Saccani; Lorenzo Fagiano (CCTA, 2021)

Trading-off safety, exploration, and exploitation in learning-based optimization: a Set Membership approach. - Lorenzo Sabug; Fredy Ruiz; Lorenzo Fagiano (CDC, 2021)

An optimal reeling control strategy for pumping airborne wind energy systems without wind speed feedback. - Andrea Berra; Lorenzo Fagiano (ECC, 2021)

Advanced Hierarchical Predictive Routing Control of a smart de-manufacturing plant. - Roberto Boffadossi; Lorenzo Fagiano; Andrea Cataldo; Marko Tanaskovic; Marco Lauricella 002 (ECC, 2021)

A Scalable Hierarchical Path Planning technique for Autonomous Inspections with multicopter drones. - Michele Bolognini; Lorenzo Fagiano (ECC, 2021)

Autonomous UAV Navigation in an Unknown Environment via Multi-Trajectory Model Predictive Control. - Danilo Saccani; Lorenzo Fagiano (ECC, 2021)

Electricity in the air: Insights from two decades of advanced control research and experimental flight testing of airborne wind energy systems. - 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 (Annu. Rev. Control., 2021)

SMGO: A set membership approach to data-driven global optimization. - Lorenzo Sabug; Fredy Ruiz; Lorenzo Fagiano (Autom., 2021)

Direct control design using a Set Membership-based black-box optimization approach. - Raffaele Galbiati; Lorenzo Sabug; Fredy Ruiz; Lorenzo Fagiano (CCTA, 2022)

A semi-supervised physics-informed classifier for centerless grinding operations. - Marco P. L. Leonesio; Lorenzo Fagiano (CCTA, 2022)

Fault- Tolerant Control of a Tethered Aircraft for Airborne Wind Energy. - Tareg Mohammed; Lorenzo Fagiano (CCTA, 2022)

Comfort-Aware Trajectory Planning in Autonomous Driving via Multi-Objective Nonlinear Model Predictive Control. - Sofia Paganelli; Ilhan Yunus; Lorenzo Fagiano (CCTA, 2022)

Autonomous navigation of interconnected tethered drones in a partially known environment with obstacles. - Michele Bolognini; Danilo Saccani; Fabrizio Cirillo; Lorenzo Fagiano (CDC, 2022)

Autonomous Airborne Wind Energy Systems: Accomplishments and Challenges. - Lorenzo Fagiano; Manfred Quack; Florian Bauer; Lode Carnel; Espen Oland (Annu. Rev. Control. Robotics Auton. Syst., 2022)

Robust multi-rate predictive control using multi-step prediction models learned from data. - Enrico Terzi; Marcello Farina; Lorenzo Fagiano; Riccardo Scattolini (Autom., 2022)

SMGO-Δ: Balancing caution and reward in global optimization with black-box constraints. - Lorenzo Sabug; Fredy Ruiz; Lorenzo Fagiano (Inf. Sci., 2022)

Model Predictive Control for Multi-Agent Systems Under Limited Communication and Time-Varying Network Topology. - Danilo Saccani; Lorenzo Fagiano; Melanie N. Zeilinger; Andrea Carron (CDC, 2023)

Trajectory Planning for Tethered Robots in Uncertain Environments. - Pedro Henrique Gomes Dos Santos; Fredy Ruiz; Lorenzo Fagiano (CoDIT, 2023)

Multi-agent Distributed Model Predictive Control with Connectivity Constraint. - Andrea Carron; Danilo Saccani; Lorenzo Fagiano; Melanie N. Zeilinger (CoRR, 2023)

Multitrajectory Model Predictive Control for Safe UAV Navigation in an Unknown Environment. - Danilo Saccani; Leonardo Cecchin; Lorenzo Fagiano (IEEE Trans. Control. Syst. Technol., 2023)

Physics-informed online learning of gray-box models by moving horizon estimation. - Kristoffer Fink Løwenstein; Daniele Bernardini 001; Lorenzo Fagiano; Alberto Bemporad (Eur. J. Control, 2023)

Day-Ahead and Intra-Day Building Load Forecast With Uncertainty Bounds Using Small Data Batches. - Marco Lauricella 002; Lorenzo Fagiano (IEEE Trans. Control. Syst. Technol., 2023)

Controlling the Exploitation/Exploration Trade-Off in Global Optimization: A Set Membership Approach. - Mattia Alborghetti; Giulio Montecchio; Lorenzo Sabug; Lorenzo Fagiano; Fredy Ruiz (ACC, 2024)

Real-time prediction of human-generated reference signals for advanced digging control. - Leonardo Cecchin; Adrian Trachte; Lorenzo Fagiano; Moritz Diehl (CASE, 2024)

Obstacle avoidance for a robotic manipulator with linear-quadratic Model Predictive Control. - Gonzalo Meza; Kristoffer Fink Løwenstein; Lorenzo Fagiano (CASE, 2024)

Data-driven modeling and quality prediction of clinker production in a cement plant. - Luca Frigo; Marco Lauricella 002; Lorenzo Fagiano (CCTA, 2024)

Multi-Agent Global Optimization with Decision Variable Coupling. - Lorenzo Sabug; Fredy Ruiz; Lorenzo Fagiano (CDC, 2024)

Scalable Approximate Optimization of Objective Functions Represented by Random Forests. - Marco P. L. Leonesio; Lorenzo Fagiano (MED, 2024)

Optimal feature rescaling in machine learning based on neural networks. - Federico Maria Vitrò; Marco P. L. Leonesio; Lorenzo Fagiano (CoRR, 2024)

Sample-Based Trust Region Dynamics in Contextual Global Optimization. - Lorenzo Sabug; Lorenzo Fagiano; Fredy Ruiz (IEEE Control. Syst. Lett., 2024)

On the kite-platform interactions in offshore Airborne Wind Energy Systems: Frequency analysis and control approach. - Sofia Trombini; Edoardo Pasta; Lorenzo Fagiano (Eur. J. Control, 2024)

Data-Driven Model Predictive Control of an Hydraulic Excavator via Local Model Networks. - Salim Msaad; Leonardo Cecchin; Ozan Demir; Lorenzo Fagiano (ACC, 2025)

Periodic Disturbance Learning Model Predictive Control. - Syed Hassan Ahmed; Tommaso Bonetti; Lorenzo Fagiano (IEEE Control. Syst. Lett., 2025)

ROBBO: An Efficient Method for Pareto Front Estimation with Guaranteed Accuracy. - Roberto Boffadossi; Marco P. L. Leonesio; Lorenzo Fagiano (CoRR, 2025)

Automatic Learning-Based Calibration of Assisted Motorcycle Gearshift: A Comparative Study. - Edoardo Catenaro; Lorenzo Sabug; Giulio Panzani; Davide Sette; Fredy Ruiz; Lorenzo Fagiano; Sergio M. Savaresi (IEEE Trans. Control. Syst. Technol., 2025)