Lorenzo Fagiano

156 papers C 21Journal 79Unranked 56

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A scalable, approximate optimization approach for random forests under polytopic constraints. Inf. Sci. Marco P. L. Leonesio, Lorenzo Fagiano
2026	J	`jnl`	On the design of linear time varying model predictive control for trajectory stabilization. Autom. Nicolas Kessler, Lorenzo Fagiano
2025	J	`jnl`	Automatic Learning-Based Calibration of Assisted Motorcycle Gearshift: A Comparative Study. IEEE Trans. Control. Syst. Technol. Edoardo Catenaro, Lorenzo Sabug, Giulio Panzani, Davide Sette, Fredy Ruiz, Lorenzo Fagiano, Sergio M. Savaresi
2025	C	`conf`	Data-Driven Model Predictive Control of an Hydraulic Excavator via Local Model Networks. ACC Salim Msaad, Leonardo Cecchin, Ozan Demir, Lorenzo Fagiano
2025	J	`jnl`	Koopman-Based Dynamic Environment Prediction for Safe UAV Navigation. CoRR Vitor Bueno, Ali Azarbahram, Marcello Farina, Lorenzo Fagiano
2025	—	`conf`	Optimal Power Smoothing of Airborne Wind Energy Systems via Pseudo-Spectral Methods and Multi-objective Analysis. ECC Mattia Alborghetti, Filippo Trevisi, Roberto Boffadossi, Lorenzo Fagiano
2025	J	`jnl`	Periodic Disturbance Learning Model Predictive Control. IEEE Control. Syst. Lett. Syed Hassan Ahmed, Tommaso Bonetti, Lorenzo Fagiano
2025	J	`jnl`	ROBBO: An Efficient Method for Pareto Front Estimation with Guaranteed Accuracy. CoRR Roberto Boffadossi, Marco P. L. Leonesio, Lorenzo Fagiano
2025	J	`jnl`	Variable L0 Guidance Strategy: Enlarged Operational Envelope and Path-Following. CoRR Amit Shivam, Manuel C. R. M. Fernandes, Fernando A. C. C. Fontes, Lorenzo Fagiano
2024	C	`conf`	Controlling the Exploitation/Exploration Trade-Off in Global Optimization: A Set Membership Approach. ACC Mattia Alborghetti, Giulio Montecchio, Lorenzo Sabug, Lorenzo Fagiano, Fredy Ruiz
2024	—	`conf`	Data-driven modeling and quality prediction of clinker production in a cement plant. CCTA Luca Frigo, Marco Lauricella, Lorenzo Fagiano
2024	—	`conf`	Multi-Agent Global Optimization with Decision Variable Coupling. CDC Lorenzo Sabug, Fredy Ruiz, Lorenzo Fagiano
2024	—	`conf`	Obstacle avoidance for a robotic manipulator with linear-quadratic Model Predictive Control. CASE Gonzalo Meza, Kristoffer Fink Løwenstein, Lorenzo Fagiano
2024	J	`jnl`	On the Kite-Platform Interactions in Offshore Airborne Wind Energy Systems: Frequency Analysis and Control Approach. CoRR Sofia Trombini, Edoardo Pasta, Lorenzo Fagiano
2024	J	`jnl`	On the kite-platform interactions in offshore Airborne Wind Energy Systems: Frequency analysis and control approach. Eur. J. Control Sofia Trombini, Edoardo Pasta, Lorenzo Fagiano
2024	J	`jnl`	Optimal feature rescaling in machine learning based on neural networks. CoRR Federico Maria Vitrò, Marco P. L. Leonesio, Lorenzo Fagiano
2024	—	`conf`	Real-time prediction of human-generated reference signals for advanced digging control. CASE Leonardo Cecchin, Adrian Trachte, Lorenzo Fagiano, Moritz Diehl
2024	J	`jnl`	Sample-Based Trust Region Dynamics in Contextual Global Optimization. IEEE Control. Syst. Lett. Lorenzo Sabug, Lorenzo Fagiano, Fredy Ruiz
2024	—	`conf`	Scalable Approximate Optimization of Objective Functions Represented by Random Forests. MED Marco P. L. Leonesio, Lorenzo Fagiano
2023	J	`jnl`	Day-Ahead and Intra-Day Building Load Forecast With Uncertainty Bounds Using Small Data Batches. IEEE Trans. Control. Syst. Technol. Marco Lauricella, Lorenzo Fagiano
2023	—	`conf`	Model Predictive Control for Multi-Agent Systems Under Limited Communication and Time-Varying Network Topology. CDC Danilo Saccani, Lorenzo Fagiano, Melanie N. Zeilinger, Andrea Carron
2023	J	`jnl`	Model Predictive Control for Multi-Agent Systems under Limited Communication and Time-Varying Network Topology. CoRR Danilo Saccani, Lorenzo Fagiano, Melanie N. Zeilinger, Andrea Carron
2023	J	`jnl`	Multi-agent Distributed Model Predictive Control with Connectivity Constraint. CoRR Andrea Carron, Danilo Saccani, Lorenzo Fagiano, Melanie N. Zeilinger
2023	J	`jnl`	Multitrajectory Model Predictive Control for Safe UAV Navigation in an Unknown Environment. IEEE Trans. Control. Syst. Technol. Danilo Saccani, Leonardo Cecchin, Lorenzo Fagiano
2023	J	`jnl`	Physics-informed online learning of gray-box models by moving horizon estimation. Eur. J. Control Kristoffer Fink Løwenstein, Daniele Bernardini, Lorenzo Fagiano, Alberto Bemporad
2023	C	`conf`	Trajectory Planning for Tethered Robots in Uncertain Environments. CoDIT Pedro Henrique Gomes Dos Santos, Fredy Ruiz, Lorenzo Fagiano
2022	—	`conf`	A semi-supervised physics-informed classifier for centerless grinding operations. CCTA Marco P. L. Leonesio, Lorenzo Fagiano
2022	J	`jnl`	Autonomous Airborne Wind Energy Systems: Accomplishments and Challenges. Annu. Rev. Control. Robotics Auton. Syst. Lorenzo Fagiano, Manfred Quack, Florian Bauer, Lode Carnel, Espen Oland
2022	—	`conf`	Autonomous navigation of interconnected tethered drones in a partially known environment with obstacles. CDC Michele Bolognini, Danilo Saccani, Fabrizio Cirillo, Lorenzo Fagiano
2022	—	`conf`	Comfort-Aware Trajectory Planning in Autonomous Driving via Multi-Objective Nonlinear Model Predictive Control. CCTA Sofia Paganelli, Ilhan Yunus, Lorenzo Fagiano
2022	—	`conf`	Direct control design using a Set Membership-based black-box optimization approach. CCTA Raffaele Galbiati, Lorenzo Sabug, Fredy Ruiz, Lorenzo Fagiano
2022	—	`conf`	Fault- Tolerant Control of a Tethered Aircraft for Airborne Wind Energy. CCTA Tareg Mohammed, Lorenzo Fagiano
2022	J	`jnl`	Robust multi-rate predictive control using multi-step prediction models learned from data. Autom. Enrico Terzi, Marcello Farina, Lorenzo Fagiano, Riccardo Scattolini
2022	J	`jnl`	SMGO-Δ: Balancing caution and reward in global optimization with black-box constraints. Inf. Sci. Lorenzo Sabug, Fredy Ruiz, Lorenzo Fagiano
2021	—	`conf`	A Scalable Hierarchical Path Planning technique for Autonomous Inspections with multicopter drones. ECC Michele Bolognini, Lorenzo Fagiano
2021	—	`conf`	Advanced Hierarchical Predictive Routing Control of a smart de-manufacturing plant. ECC Roberto Boffadossi, Lorenzo Fagiano, Andrea Cataldo, Marko Tanaskovic, Marco Lauricella
2021	—	`conf`	An optimal reeling control strategy for pumping airborne wind energy systems without wind speed feedback. ECC Andrea Berra, Lorenzo Fagiano
2021	J	`jnl`	An optimal reeling control strategy for pumping airborne wind energy systems without wind speed feedback. CoRR Andrea Berra, Lorenzo Fagiano
2021	—	`conf`	Autonomous UAV Navigation in an Unknown Environment via Multi-Trajectory Model Predictive Control. ECC Danilo Saccani, Lorenzo Fagiano
2021	J	`jnl`	Electricity in the air: Insights from two decades of advanced control research and experimental flight testing of airborne wind energy systems. Annu. Rev. Control. 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
2021	—	`conf`	G-BEAM: Graph-Based Exploration And Mapping for Autonomous Vehicles. CCTA Leonardo Cecchin, Danilo Saccani, Lorenzo Fagiano
2021	J	`jnl`	Robust multi-rate predictive control using multi-step prediction models learned from data. CoRR Enrico Terzi, Lorenzo Fagiano, Marcello Farina, Riccardo Scattolini
2021	J	`jnl`	SMGO: A set membership approach to data-driven global optimization. Autom. Lorenzo Sabug, Fredy Ruiz, Lorenzo Fagiano
2021	—	`conf`	Trading-off safety, exploration, and exploitation in learning-based optimization: a Set Membership approach. CDC Lorenzo Sabug, Fredy Ruiz, Lorenzo Fagiano
2020	J	`jnl`	Control of a Rigid Wing Pumping Airborne Wind Energy System in all Operational Phases. CoRR Davide Todeschini, Lorenzo Fagiano, Claudio Micheli, Aldo Cattano
2020	—	`conf`	Data-driven filtering for linear systems using Set Membership multistep predictors. CDC Marco Lauricella, Lorenzo Fagiano
2020	—	`conf`	Hierarchical routing control in discrete manufacturing plants via model predictive path allocation and greedy path following. CDC Lorenzo Fagiano, Marko Tanaskovic, Lenin Cucas Mallitasig, Andrea Cataldo, Riccardo Scattolini
2020	J	`jnl`	Hierarchical routing control in discrete manufacturing plants via model predictive path allocation and greedy path following. CoRR Lorenzo Fagiano, Marko Tanaskovic, Lenin Cucas Mallitasig, Andrea Cataldo, Riccardo Scattolini
2020	J	`jnl`	In-Flight Estimation of the Aerodynamics of Tethered Wings for Airborne Wind Energy. IEEE Trans. Control. Syst. Technol. Eduardo Schmidt, Marcelo de Lellis, Ramiro Saraiva, Lorenzo Fagiano, Alexandre Trofino Neto
2020	J	`jnl`	Industry engagement with control research: Perspective and messages. Annu. Rev. Control. 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
2020	J	`jnl`	LiDAR-Based Navigation of Tethered Drone Formations in an Unknown Environment. CoRR Michele Bolognini, Lorenzo Fagiano
2020	—	`conf`	On the use of Set Membership theory for global optimization of black-box functions. CDC Lorenzo Sabug, Fredy Ruiz, Lorenzo Fagiano
2020	J	`jnl`	Set Membership Identification of Linear Systems With Guaranteed Simulation Accuracy. IEEE Trans. Autom. Control. Marco Lauricella, Lorenzo Fagiano
2020	J	`jnl`	Shrinking horizon parametrized predictive control with application to energy-efficient train operation. Autom. Hafsa Farooqi, Lorenzo Fagiano, Patrizio Colaneri, Davide Barlini
2020	—	`conf`	Software-in-the-loop testing of a distributed optimal scheduling strategy for microgrids' aggregators. ISGT-Europe Fabio Bonassi, Alessio La Bella, Lorenzo Fagiano, Riccardo Scattolini, Donato Zarrilli, Pablo Almaleck
2019	J	`jnl`	Adaptive model predictive control for linear time varying MIMO systems. Autom. Marko Tanaskovic, Lorenzo Fagiano, Vojislav Gligorovski
2019	C	`conf`	Control of vertical take off, dynamic flight and landing of hybrid drones for airborne wind energy systems. ACC Davide Todeschini, Lorenzo Fagiano, Claudio Micheli, Aldo Cattano
2019	C	`conf`	Day ahead electricity price forecast by NARX model with LASSO based features selection. INDIN Alessandro Brusaferri, Lorenzo Fagiano, Matteo Matteucci, Andrea Vitali
2019	J	`jnl`	Identification of Induction Motors Using Smart Circuit Breakers. IEEE Trans. Control. Syst. Technol. Lorenzo Fagiano, Marco Lauricella, Daniele Angelosante, Enrico Ragaini
2019	—	`conf`	Learning-based predictive control for MIMO systems. CDC Jose R. Salvador, Enrico Terzi, Marcello Farina, Daniel R. Ramírez, Lorenzo Fagiano, David Muñoz de la Peña, Riccardo Scattolini
2019	J	`jnl`	Learning-based predictive control for linear systems: A unitary approach. Autom. Enrico Terzi, Lorenzo Fagiano, Marcello Farina, Riccardo Scattolini
2019	J	`jnl`	Scenario optimization for optimal training of Echo State Networks. CoRR Luca Bugliari Armenio, Lorenzo Fagiano, Enrico Terzi, Marcello Farina, Riccardo Scattolini
2019	—	`conf`	Set membership estimation of day-ahead microgrids scheduling. ECC Alessio La Bella, Lorenzo Fagiano, Riccardo Scattolini
2018	—	`conf`	Adaptive Model Predictive Control for Constrained Time Variying Systems. ECC Marko Tanaskovic, Lorenzo Fagiano, Vojislav Gligorovski
2018	J	`jnl`	Autonomous Takeoff and Flight of a Tethered Aircraft for Airborne Wind Energy. IEEE Trans. Control. Syst. Technol. Lorenzo Fagiano, Eric Nguyen Van, Felix Rager, Stephan Schnez, Christian Ohler
2018	—	`conf`	Learning multi-step prediction models for receding horizon control. ECC Enrico Terzi, Lorenzo Fagiano, Marcello Farina, Riccardo Scattolini
2018	J	`jnl`	Learning-based predictive control for linear systems: a unitary approach. CoRR Enrico Terzi, Lorenzo Fagiano, Marcello Farina, Riccardo Scattolini
2018	J	`jnl`	On multi-step prediction models for receding horizon control. CoRR Enrico Terzi, Lorenzo Fagiano, Marcello Farina, Riccardo Scattolini
2018	J	`jnl`	On shrinking horizon move-blocking predictive control. CoRR Hafsa Farooqi, Lorenzo Fagiano, Patrizio Colaneri
2018	—	`conf`	On the identification of linear time invariant systems with guaranteed simulation error bounds. CDC Marco Lauricella, Lorenzo Fagiano
2018	—	`conf`	Robust predictive control with data-based multi-step prediction models. ECC Enrico Terzi, Marcello Farina, Lorenzo Fagiano, Riccardo Scattolini
2017	J	`jnl`	Adaptive model predictive control for constrained, linear time varying systems. CoRR Marko Tanaskovic, Lorenzo Fagiano, Vojislav Gligorovski
2017	J	`jnl`	Data-driven control of nonlinear systems: An on-line direct approach. Autom. Marko Tanaskovic, Lorenzo Fagiano, Carlo Novara, Manfred Morari
2017	—	`conf`	Motor parameters estimation from industrial electrical measurements. EUSIPCO Daniele Angelosante, Lorenzo Fagiano, Fabio Grasso, Enrico Ragaini
2016	J	`jnl`	A Small-Scale Prototype to Study the Take-Off of Tethered Rigid Aircrafts for Airborne Wind Energy. CoRR Lorenzo Fagiano, Eric Nguyen Van, Felix Rager, Stephan Schnez, Christian Ohler
2016	J	`jnl`	Automatic Retraction and Full-Cycle Operation for a Class of Airborne Wind Energy Generators. IEEE Trans. Control. Syst. Technol. Aldo U. Zgraggen, Lorenzo Fagiano, Manfred Morari
2016	J	`jnl`	Autonomous Take-Off and Flight of a Tethered Aircraft for Airborne Wind Energy. CoRR Lorenzo Fagiano, Eric Nguyen Van, Felix Rager, Stephan Schnez, Christian Ohler
2016	J	`jnl`	Learning a Nonlinear Controller From Data: Theory, Computation, and Experimental Results. IEEE Trans. Autom. Control. Lorenzo Fagiano, Carlo Novara
2016	C	`conf`	On the autonomous take-off and landing of tethered wings for airborne wind energy. ACC Eric Nguyen Van, Lorenzo Fagiano, Stephan Schnez
2015	J	`jnl`	Autonomous take-off and landing of a tethered aircraft: a simulation study. CoRR Eric Nguyen Van, Lorenzo Fagiano, Stephan Schnez
2015	J	`jnl`	On the Take-off of Airborne Wind Energy Systems Based on Rigid Wings. CoRR Lorenzo Fagiano, Stephan Schnez
2015	J	`jnl`	On-line direct data driven controller design approach with automatic update for some of the tuning parameters. CoRR Marko Tanaskovic, Lorenzo Fagiano, Carlo Novara, Manfred Morari
2015	J	`jnl`	Order Reduction of the Radiative Heat Transfer Model for the Simulation of Plasma Arcs. CoRR Lorenzo Fagiano, Rudolf Gati
2015	J	`jnl`	Real-Time Optimization and Adaptation of the Crosswind Flight of Tethered Wings for Airborne Wind Energy. IEEE Trans. Control. Syst. Technol. Aldo U. Zgraggen, Lorenzo Fagiano, Manfred Morari
2014	J	`jnl`	A DVS-MHE Approach to Vehicle Side-Slip Angle Estimation. IEEE Trans. Control. Syst. Technol. Massimo Canale, Lorenzo Fagiano, Carlo Novara
2014	—	`conf`	Active pitch control of tethered wings for airborne wind energy. CDC Marcelo Buffoni, Bernardo Galletti, Hans Joachim Ferreau, Lorenzo Fagiano, Mehmet Mercangöz
2014	J	`jnl`	Adaptive receding horizon control for constrained MIMO systems. Autom. Marko Tanaskovic, Lorenzo Fagiano, Roy S. Smith, Manfred Morari
2014	J	`jnl`	Automatic Crosswind Flight of Tethered Wings for Airborne Wind Energy: Modeling, Control Design, and Experimental Results. IEEE Trans. Control. Syst. Technol. Lorenzo Fagiano, Aldo U. Zgraggen, Manfred Morari, Mustafa Khammash
2014	J	`jnl`	Automatic Retraction and Full Cycle Operation for a Class of Airborne Wind Energy Generators. CoRR Aldo U. Zgraggen, Lorenzo Fagiano, Manfred Morari
2014	—	`conf`	Experimental testing of an adaptive model predictive controller on a quad-tank system. ECC Marko Tanaskovic, Lawrence Minnetian, Lorenzo Fagiano, Manfred Morari
2014	—	`conf`	Learning a nonlinear controller from data: Theory and computation. CDC Lorenzo Fagiano, Carlo Novara
2014	J	`jnl`	On Sensor Fusion for Airborne Wind Energy Systems. IEEE Trans. Control. Syst. Technol. Lorenzo Fagiano, Khanh Huynh, Bassam Bamieh, Mustafa Khammash
2014	—	`conf`	On modeling and control of the retraction phase for airborne wind energy systems. CDC Aldo U. Zgraggen, Lorenzo Fagiano, Manfred Morari
2014	J	`jnl`	On the optimal worst-case experiment design for constrained linear systems. Autom. Marko Tanaskovic, Lorenzo Fagiano, Manfred Morari
2014	J	`jnl`	The scenario approach for Stochastic Model Predictive Control with bounds on closed-loop constraint violations. Autom. Georg Schildbach, Lorenzo Fagiano, Christoph Frei, Manfred Morari
2014	—	`conf`	Worst-case experiment design for constrained MISO systems. CDC Marko Tanaskovic, Lorenzo Fagiano, Manfred Morari
2013	J	`jnl`	A combined Moving Horizon and Direct Virtual Sensor approach for constrained nonlinear estimation. Autom. Lorenzo Fagiano, Carlo Novara
2013	—	`conf`	Adaptive Model Predictive Control for Constrained MIMO Systems. ALCOSP Marko Tanaskovic, Lorenzo Fagiano, Roy S. Smith, Manfred Morari
2013	—	`conf`	Adaptive model predictive control for constrained linear systems. ECC Marko Tanaskovic, Lorenzo Fagiano, Roy S. Smith, Paul Goulart, Manfred Morari
2013	J	`jnl`	Adaptive model predictive control with exploring property for constrained linear systems that uses basis function model parametrization. CoRR Marko Tanaskovic, Lorenzo Fagiano, Roy S. Smith, Manfred Morari
2013	—	`conf`	Automatic control of tethered wings for airborne wind energy: Design and experimental results. ECC Lorenzo Fagiano, Aldo U. Zgraggen, Mustafa Khammash, Manfred Morari
2013	J	`jnl`	Automatic crosswind flight of tethered wings for airborne wind energy: modeling, control design and experimental results CoRR Lorenzo Fagiano, Aldo U. Zgraggen, Manfred Morari, Mustafa Khammash
2013	J	`jnl`	Design of a small-scale prototype for research in airborne wind energy. CoRR Lorenzo Fagiano, Trevor Marks
2013	J	`jnl`	Direct feedback control design for nonlinear systems. Autom. Carlo Novara, Lorenzo Fagiano, Mario Milanese
2013	J	`jnl`	Editorial To Tame the Wind: Advanced Control Applications in Wind Energy. IEEE Trans. Control. Syst. Technol. Lorenzo Fagiano, Manfred Morari, Mario A. Rotea, Greg E. Stewart
2013	J	`jnl`	Generalized terminal state constraint for model predictive control. Autom. Lorenzo Fagiano, Andrew R. Teel
2013	J	`jnl`	Identification of nonlinear controllers from data: theory and computation. CoRR Lorenzo Fagiano, Carlo Novara
2013	C	`conf`	On control of tethered wings for airborne wind energy. ACC Lorenzo Fagiano, Aldo U. Zgraggen, Mustafa Khammash, Manfred Morari
2013	—	`conf`	On real-time optimization of airborne wind energy generators. CDC Aldo U. Zgraggen, Lorenzo Fagiano, Manfred Morari
2013	J	`jnl`	Randomized Solutions to Convex Programs with Multiple Chance Constraints. SIAM J. Optim. Georg Schildbach, Lorenzo Fagiano, Manfred Morari
2013	J	`jnl`	Real-time Optimization and Adaptation of the Crosswind Flight of Tethered Wings for Airborne Wind Energy. CoRR Aldo U. Zgraggen, Lorenzo Fagiano, Manfred Morari
2013	J	`jnl`	Robust Model Predictive Control via Scenario Optimization. IEEE Trans. Autom. Control. Giuseppe Carlo Calafiore, Lorenzo Fagiano
2013	C	`conf`	Sensor fusion for tethered wings in airborne wind energy. ACC Lorenzo Fagiano, Khanh Huynh, Bassam Bamieh, Mustafa Khammash
2013	J	`jnl`	Stochastic model predictive control of LPV systems via scenario optimization. Autom. Giuseppe Carlo Calafiore, Lorenzo Fagiano
2012	C	`conf`	Airborne Wind Energy: An overview. ACC Lorenzo Fagiano, Mario Milanese
2012	—	`conf`	DFK control design for nonlinear systems. CDC Carlo Novara, Lorenzo Fagiano, Mario Milanese
2012	J	`jnl`	High-Altitude Wind Energy for Sustainable Marine Transportation. IEEE Trans. Intell. Transp. Syst. Lorenzo Fagiano, Mario Milanese, Valentino Razza, Mario Bonansone
2012	—	`conf`	Model predictive control of stochastic LPV systems via Random Convex Programs. CDC Giuseppe Carlo Calafiore, Lorenzo Fagiano
2012	—	`conf`	Nonlinear stochastic model predictive control via regularized polynomial chaos expansions. CDC Lorenzo Fagiano, Mustafa Khammash
2012	J	`jnl`	On generalized terminal state constraints for model predictive control CoRR Lorenzo Fagiano, Andrew R. Teel
2012	—	`conf`	On mixed-integer random convex programs. CDC Giuseppe Carlo Calafiore, Daniel Lyons, Lorenzo Fagiano
2012	J	`jnl`	On sensor fusion for airborne wind energy systems CoRR Lorenzo Fagiano, Khanh Huynh, Bassam Bamieh, Mustafa Khammash
2012	C	`conf`	Randomized Model Predictive Control for stochastic linear systems. ACC Georg Schildbach, Giuseppe Carlo Calafiore, Lorenzo Fagiano, Manfred Morari
2012	J	`jnl`	Robust Model Predictive Control via Scenario Optimization CoRR Giuseppe Carlo Calafiore, Lorenzo Fagiano
2012	J	`jnl`	Set membership approximation of discontinuous nonlinear model predictive control laws. Autom. Lorenzo Fagiano, Massimo Canale, Mario Milanese
2012	J	`jnl`	Simulation of stochastic systems via polynomial chaos expansions and convex optimization CoRR Lorenzo Fagiano, Mustafa Khammash
2011	C	`conf`	Direct data-driven inverse control of a power kite for high altitude wind energy conversion. CCA Carlo Novara, Lorenzo Fagiano, Mario Milanese
2011	—	`conf`	Improvement of Moving Horizon Estimators via Direct Virtual Sensor techniques. CDC/ECC Lorenzo Fagiano, Carlo Novara
2011	—	`conf`	On the guaranteed accuracy of Polynomial Chaos Expansions. CDC/ECC Lorenzo Fagiano, Mustafa Khammash, Carlo Novara
2011	—	`conf`	Robust model predictive control via random convex programming. CDC/ECC Giuseppe Carlo Calafiore, Lorenzo Fagiano
2011	—	`conf`	Robust model predictive control: The random convex programming approach. CACSD Giuseppe Carlo Calafiore, Lorenzo Fagiano
2011	—	`conf`	Sparse Set Membership identification of nonlinear functions and application to control of power kites for wind energy conversion. CDC/ECC Carlo Novara, Lorenzo Fagiano, Mario Milanese
2010	—	`conf`	A direct Moving Horizon approach to vehicle side-slip angle estimation. CDC Massimo Canale, Lorenzo Fagiano, Carlo Novara
2010	C	`conf`	Control as a key technology for a radical innovation in wind energy generation. ACC Mario Milanese, Lorenzo Fagiano, Dario Piga
2010	C	`conf`	Control of Tethered Airfoils for Sustainable Marine Transportation. CCA Massimo Canale, Lorenzo Fagiano, Mario Milanese, Valentino Razza
2010	C	`conf`	Control of power kites for naval propulsion. ACC Lorenzo Fagiano, Mario Milanese, Valentino Razza, I. Gerlero
2010	J	`jnl`	Efficient Model Predictive Control for Nonlinear Systems via Function Approximation Techniques. IEEE Trans. Autom. Control. Massimo Canale, Lorenzo Fagiano, Mario Milanese
2010	J	`jnl`	High Altitude Wind Energy Generation Using Controlled Power Kites. IEEE Trans. Control. Syst. Technol. Massimo Canale, Lorenzo Fagiano, Mario Milanese
2010	C	`conf`	Vehicle Side-slip Angle Estimation using a Direct MH Estimator. CCA Massimo Canale, Lorenzo Fagiano, Carlo Novara
2010	C	`conf`	Vehicle lateral stability using a front steer by wire device and Set Membership Predictive Control techniques. ACC Massimo Canale, Lorenzo Fagiano, Maria Carmela Signorile
2009	J	`jnl`	Comparing Internal Model Control and Sliding-Mode Approaches for Vehicle Yaw Control. IEEE Trans. Intell. Transp. Syst. Massimo Canale, Lorenzo Fagiano, Antonella Ferrara, Claudio Vecchio
2009	—	`conf`	Set Membership approximation of discontinuous NMPC laws. CDC Lorenzo Fagiano, Massimo Canale, Mario Milanese
2009	J	`jnl`	Set Membership approximation theory for fast implementation of Model Predictive Control laws. Autom. Massimo Canale, Lorenzo Fagiano, Mario Milanese
2009	—	`conf`	Set membership approximations of Predictive Control laws: The tradeoff between accuracy and complexity. ECC Massimo Canale, Lorenzo Fagiano, Mario Milanese, Carlo Novara
2009	—	`conf`	Vehicle lateral stability control via approximated NMPC: real-time implementation and software-in-the-loop test. CDC Massimo Canale, Lorenzo Fagiano, Valentino Razza
2008	C	`conf`	A comparison between IMC and Sliding Mode approaches to vehicle yaw control. ACC Massimo Canale, Lorenzo Fagiano, Antonella Ferrara, Claudio Vecchio
2008	—	`conf`	A study on the use of virtual sensors in vehicle control. CDC Massimo Canale, Lorenzo Fagiano, Fredy Ruiz, Maria Carmela Signorile
2008	C	`conf`	On the design of linear virtual sensors for low cost vehicle stability control. CCA Massimo Canale, Lorenzo Fagiano, Fredy Ruiz, Maria Carmela Signorile
2008	—	`conf`	On the use of approximated predictive control laws for nonlinear systems. CDC Massimo Canale, Lorenzo Fagiano, Mario Milanese
2008	J	`jnl`	Vehicle Yaw Control via Second-Order Sliding-Mode Technique. IEEE Trans. Ind. Electron. Massimo Canale, Lorenzo Fagiano, Antonella Ferrara, Claudio Vecchio
2008	—	`conf`	Vehicle yaw control using a fast NMPC approach. CDC Massimo Canale, Lorenzo Fagiano
2007	C	`conf`	A robust IMC approach for stability control of 4WS vehicles. ACC Massimo Canale, Lorenzo Fagiano
2007	—	`conf`	Fast implementation of predictive controllers using SM approximation methodologies. CDC Massimo Canale, Lorenzo Fagiano, Mario Milanese
2007	C	`conf`	KiteGen project: control as key technology for a quantum leap in wind energy generators. ACC Massimo Canale, Lorenzo Fagiano, Mario Milanese, Massimo Ippolito
2006	—	`conf`	Control of tethered airfoils for a new class of wind energy generator. CDC Massimo Canale, Lorenzo Fagiano, Massimo Ippolito, Mario Milanese
2006	C	`conf`	Robust vehicle yaw control using active differential and internal model control techniques. ACC Massimo Canale, Lorenzo Fagiano, Mario Milanese, Pandeli Borodani