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2020 – today
- 2024
[j41]Lorenzo Sabug
, Lorenzo Fagiano, Fredy Ruiz:
Sample-Based Trust Region Dynamics in Contextual Global Optimization. IEEE Control. Syst. Lett. 8: 1619-1624 (2024)- [c72]Mattia Alborghetti, Giulio Montecchio, Lorenzo Sabug, Lorenzo Fagiano, Fredy Ruiz:
Controlling the Exploitation/Exploration Trade-Off in Global Optimization: A Set Membership Approach. ACC 2024: 2918-2923 - [c71]Luca Frigo, Marco Lauricella, Lorenzo Fagiano:
Data-driven modeling and quality prediction of clinker production in a cement plant. CCTA 2024: 464-470 - [c70]Marco P. L. Leonesio, Lorenzo Fagiano:
Scalable Approximate Optimization of Objective Functions Represented by Random Forests. MED 2024: 494-499 - [i30]Sofia Trombini, Edoardo Pasta, Lorenzo Fagiano:
On the Kite-Platform Interactions in Offshore Airborne Wind Energy Systems: Frequency Analysis and Control Approach. CoRR abs/2401.05950 (2024) - [i29]Federico Maria Vitrò, Marco P. L. Leonesio, Lorenzo Fagiano:
Optimal feature rescaling in machine learning based on neural networks. CoRR abs/2402.10964 (2024) - 2023
- [j40]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: 100861 (2023) - [j39]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): 1982-1997 (2023) - [j38]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): 2584-2595 (2023) - [c69]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: 3764-3769 - [c68]Pedro Henrique Gomes Dos Santos, Fredy Ruiz, Lorenzo Fagiano:
Trajectory Planning for Tethered Robots in Uncertain Environments. CoDIT 2023: 391-396 - [i28]Andrea Carron, Danilo Saccani, Lorenzo Fagiano, Melanie N. Zeilinger:
Multi-agent Distributed Model Predictive Control with Connectivity Constraint. CoRR abs/2303.06957 (2023) - [i27]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 abs/2304.01649 (2023) - 2022
- [j37]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: 603-631 (2022) - [j36]Enrico Terzi, Marcello Farina, Lorenzo Fagiano, Riccardo Scattolini:
Robust multi-rate predictive control using multi-step prediction models learned from data. Autom. 136: 109852 (2022) - [j35]Lorenzo Sabug, Fredy Ruiz, Lorenzo Fagiano:
SMGO-Δ: Balancing caution and reward in global optimization with black-box constraints. Inf. Sci. 605: 15-42 (2022) - [c67]Tareg Mohammed, Lorenzo Fagiano:
Fault- Tolerant Control of a Tethered Aircraft for Airborne Wind Energy. CCTA 2022: 279-284 - [c66]Sofia Paganelli, Ilhan Yunus, Lorenzo Fagiano:
Comfort-Aware Trajectory Planning in Autonomous Driving via Multi-Objective Nonlinear Model Predictive Control. CCTA 2022: 664-669 - [c65]Marco P. L. Leonesio, Lorenzo Fagiano:
A semi-supervised physics-informed classifier for centerless grinding operations. CCTA 2022: 977-982 - [c64]Raffaele Galbiati, Lorenzo Sabug, Fredy Ruiz, Lorenzo Fagiano:
Direct control design using a Set Membership-based black-box optimization approach. CCTA 2022: 1259-1264 - [c63]Michele Bolognini, Danilo Saccani, Fabrizio Cirillo, Lorenzo Fagiano:
Autonomous navigation of interconnected tethered drones in a partially known environment with obstacles. CDC 2022: 3315-3320 - 2021
- [j34]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: 330-357 (2021) - [j33]Lorenzo Sabug, Fredy Ruiz, Lorenzo Fagiano:
SMGO: A set membership approach to data-driven global optimization. Autom. 133: 109890 (2021) - [c62]Leonardo Cecchin, Danilo Saccani, Lorenzo Fagiano:
G-BEAM: Graph-Based Exploration And Mapping for Autonomous Vehicles. CCTA 2021: 1011-1016 - [c61]Lorenzo Sabug, Fredy Ruiz, Lorenzo Fagiano:
Trading-off safety, exploration, and exploitation in learning-based optimization: a Set Membership approach. CDC 2021: 1462-1467 - [c60]Michele Bolognini, Lorenzo Fagiano:
A Scalable Hierarchical Path Planning technique for Autonomous Inspections with multicopter drones. ECC 2021: 787-792 - [c59]Andrea Berra, Lorenzo Fagiano:
An optimal reeling control strategy for pumping airborne wind energy systems without wind speed feedback. ECC 2021: 1199-1204 - [c58]Danilo Saccani, Lorenzo Fagiano:
Autonomous UAV Navigation in an Unknown Environment via Multi-Trajectory Model Predictive Control. ECC 2021: 1577-1582 - [c57]Roberto Boffadossi, Lorenzo Fagiano, Andrea Cataldo, Marko Tanaskovic, Marco Lauricella:
Advanced Hierarchical Predictive Routing Control of a smart de-manufacturing plant. ECC 2021: 1774-1779 - [i26]Enrico Terzi, Lorenzo Fagiano, Marcello Farina, Riccardo Scattolini:
Robust multi-rate predictive control using multi-step prediction models learned from data. CoRR abs/2102.08302 (2021) - [i25]Andrea Berra, Lorenzo Fagiano:
An optimal reeling control strategy for pumping airborne wind energy systems without wind speed feedback. CoRR abs/2109.15032 (2021) - 2020
- [j32]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: 1-14 (2020) - [j31]Hafsa Farooqi, Lorenzo Fagiano, Patrizio Colaneri, Davide Barlini:
Shrinking horizon parametrized predictive control with application to energy-efficient train operation. Autom. 112 (2020) - [j30]Marco Lauricella, Lorenzo Fagiano:
Set Membership Identification of Linear Systems With Guaranteed Simulation Accuracy. IEEE Trans. Autom. Control. 65(12): 5189-5204 (2020) - [j29]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): 1309-1322 (2020) - [c56]Lorenzo Sabug, Fredy Ruiz, Lorenzo Fagiano:
On the use of Set Membership theory for global optimization of black-box functions. CDC 2020: 3586-3591 - [c55]Marco Lauricella, Lorenzo Fagiano:
Data-driven filtering for linear systems using Set Membership multistep predictors. CDC 2020: 4778-4783 - [c54]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: 5546-5551 - [c53]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: 985-989 - [i24]Michele Bolognini, Lorenzo Fagiano:
LiDAR-Based Navigation of Tethered Drone Formations in an Unknown Environment. CoRR abs/2003.12981 (2020) - [i23]Davide Todeschini, Lorenzo Fagiano, Claudio Micheli, Aldo Cattano:
Control of a Rigid Wing Pumping Airborne Wind Energy System in all Operational Phases. CoRR abs/2006.11141 (2020) - [i22]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 abs/2011.04341 (2020)
2010 – 2019
- 2019
- [j28]Marko Tanaskovic, Lorenzo Fagiano, Vojislav Gligorovski:
Adaptive model predictive control for linear time varying MIMO systems. Autom. 105: 237-245 (2019) - [j27]Enrico Terzi, Lorenzo Fagiano, Marcello Farina, Riccardo Scattolini:
Learning-based predictive control for linear systems: A unitary approach. Autom. 108 (2019) - [j26]Lorenzo Fagiano, Marco Lauricella, Daniele Angelosante, Enrico Ragaini:
Identification of Induction Motors Using Smart Circuit Breakers. IEEE Trans. Control. Syst. Technol. 27(6): 2638-2646 (2019) - [c52]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: 2177-2182 - [c51]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: 7671-7676 - [c50]Alessio La Bella, Lorenzo Fagiano, Riccardo Scattolini:
Set membership estimation of day-ahead microgrids scheduling. ECC 2019: 1412-1417 - [c49]Alessandro Brusaferri, Lorenzo Fagiano, Matteo Matteucci, Andrea Vitali:
Day ahead electricity price forecast by NARX model with LASSO based features selection. INDIN 2019: 1051-1056 - [i21]Luca Bugliari Armenio, Lorenzo Fagiano, Enrico Terzi, Marcello Farina, Riccardo Scattolini:
Scenario optimization for optimal training of Echo State Networks. CoRR abs/1912.01693 (2019) - 2018
- [j25]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): 151-166 (2018) - [c48]Marco Lauricella, Lorenzo Fagiano:
On the identification of linear time invariant systems with guaranteed simulation error bounds. CDC 2018: 1439-1444 - [c47]Enrico Terzi, Lorenzo Fagiano, Marcello Farina, Riccardo Scattolini:
Learning multi-step prediction models for receding horizon control. ECC 2018: 1335-1340 - [c46]Marko Tanaskovic, Lorenzo Fagiano, Vojislav Gligorovski:
Adaptive Model Predictive Control for Constrained Time Variying Systems. ECC 2018: 1698-1703 - [c45]Enrico Terzi, Marcello Farina, Lorenzo Fagiano, Riccardo Scattolini:
Robust predictive control with data-based multi-step prediction models. ECC 2018: 1710-1715 - [i20]Enrico Terzi, Lorenzo Fagiano, Marcello Farina, Riccardo Scattolini:
On multi-step prediction models for receding horizon control. CoRR abs/1802.09767 (2018) - [i19]Hafsa Farooqi, Lorenzo Fagiano, Patrizio Colaneri:
On shrinking horizon move-blocking predictive control. CoRR abs/1803.09676 (2018) - [i18]Enrico Terzi, Lorenzo Fagiano, Marcello Farina, Riccardo Scattolini:
Learning-based predictive control for linear systems: a unitary approach. CoRR abs/1810.12584 (2018) - 2017
- [j24]Marko Tanaskovic, Lorenzo Fagiano, Carlo Novara, Manfred Morari:
Data-driven control of nonlinear systems: An on-line direct approach. Autom. 75: 1-10 (2017) - [c44]Daniele Angelosante, Lorenzo Fagiano, Fabio Grasso, Enrico Ragaini:
Motor parameters estimation from industrial electrical measurements. EUSIPCO 2017: 1006-1010 - [i17]Marko Tanaskovic, Lorenzo Fagiano, Vojislav Gligorovski:
Adaptive model predictive control for constrained, linear time varying systems. CoRR abs/1712.07548 (2017) - 2016
- [j23]Lorenzo Fagiano, Carlo Novara:
Learning a Nonlinear Controller From Data: Theory, Computation, and Experimental Results. IEEE Trans. Autom. Control. 61(7): 1854-1868 (2016) - [j22]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): 594-608 (2016) - [c43]Eric Nguyen Van, Lorenzo Fagiano, Stephan Schnez:
On the autonomous take-off and landing of tethered wings for airborne wind energy. ACC 2016: 4077-4082 - [i16]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 abs/1608.01846 (2016) - [i15]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 abs/1608.01889 (2016) - 2015
- [j21]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): 434-448 (2015) - [i14]Lorenzo Fagiano, Rudolf Gati:
Order Reduction of the Radiative Heat Transfer Model for the Simulation of Plasma Arcs. CoRR abs/1504.06204 (2015) - [i13]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 abs/1506.05267 (2015) - [i12]Eric Nguyen Van, Lorenzo Fagiano, Stephan Schnez:
Autonomous take-off and landing of a tethered aircraft: a simulation study. CoRR abs/1510.01088 (2015) - [i11]Lorenzo Fagiano, Stephan Schnez:
On the Take-off of Airborne Wind Energy Systems Based on Rigid Wings. CoRR abs/1510.06701 (2015) - 2014
- [j20]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): 3009-3018 (2014) - [j19]Marko Tanaskovic, Lorenzo Fagiano, Roy S. Smith, Manfred Morari:
Adaptive receding horizon control for constrained MIMO systems. Autom. 50(12): 3019-3029 (2014) - [j18]Marko Tanaskovic, Lorenzo Fagiano, Manfred Morari:
On the optimal worst-case experiment design for constrained linear systems. Autom. 50(12): 3291-3298 (2014) - [j17]Lorenzo Fagiano, Khanh Huynh, Bassam Bamieh, Mustafa Khammash:
On Sensor Fusion for Airborne Wind Energy Systems. IEEE Trans. Control. Syst. Technol. 22(3): 930-943 (2014) - [j16]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): 1433-1447 (2014) - [j15]Massimo Canale, Lorenzo Fagiano, Carlo Novara:
A DVS-MHE Approach to Vehicle Side-Slip Angle Estimation. IEEE Trans. Control. Syst. Technol. 22(5): 2048-2055 (2014) - [c42]Marko Tanaskovic, Lorenzo Fagiano, Manfred Morari:
Worst-case experiment design for constrained MISO systems. CDC 2014: 999-1004 - [c41]Lorenzo Fagiano, Carlo Novara:
Learning a nonlinear controller from data: Theory and computation. CDC 2014: 4148-4153 - [c40]Marcelo Buffoni, Bernardo Galletti, Hans Joachim Ferreau, Lorenzo Fagiano, Mehmet Mercangöz:
Active pitch control of tethered wings for airborne wind energy. CDC 2014: 4893-4898 - [c39]Aldo U. Zgraggen, Lorenzo Fagiano, Manfred Morari:
On modeling and control of the retraction phase for airborne wind energy systems. CDC 2014: 5686-5691 - [c38]Marko Tanaskovic, Lawrence Minnetian, Lorenzo Fagiano, Manfred Morari:
Experimental testing of an adaptive model predictive controller on a quad-tank system. ECC 2014: 504-509 - [i10]Aldo U. Zgraggen, Lorenzo Fagiano, Manfred Morari:
Automatic Retraction and Full Cycle Operation for a Class of Airborne Wind Energy Generators. CoRR abs/1409.6151 (2014) - 2013
- [j14]Lorenzo Fagiano, Carlo Novara:
A combined Moving Horizon and Direct Virtual Sensor approach for constrained nonlinear estimation. Autom. 49(1): 193-199 (2013) - [j13]Carlo Novara, Lorenzo Fagiano, Mario Milanese:
Direct feedback control design for nonlinear systems. Autom. 49(4): 849-860 (2013) - [j12]Giuseppe Carlo Calafiore, Lorenzo Fagiano:
Stochastic model predictive control of LPV systems via scenario optimization. Autom. 49(6): 1861-1866 (2013) - [j11]Lorenzo Fagiano, Andrew R. Teel:
Generalized terminal state constraint for model predictive control. Autom. 49(9): 2622-2631 (2013) - [j10]Georg Schildbach, Lorenzo Fagiano, Manfred Morari:
Randomized Solutions to Convex Programs with Multiple Chance Constraints. SIAM J. Optim. 23(4): 2479-2501 (2013) - [j9]Giuseppe Carlo Calafiore, Lorenzo Fagiano:
Robust Model Predictive Control via Scenario Optimization. IEEE Trans. Autom. Control. 58(1): 219-224 (2013) - [j8]Lorenzo Fagiano, Manfred Morari, Mario A. Rotea, Greg E. Stewart:
Editorial To Tame the Wind: Advanced Control Applications in Wind Energy. IEEE Trans. Control. Syst. Technol. 21(4): 1045-1048 (2013) - [c37]Marko Tanaskovic, Lorenzo Fagiano, Roy S. Smith, Manfred Morari:
Adaptive Model Predictive Control for Constrained MIMO Systems. ALCOSP 2013: 39-44 - [c36]Lorenzo Fagiano, Aldo U. Zgraggen, Mustafa Khammash, Manfred Morari:
On control of tethered wings for airborne wind energy. ACC 2013: 1430-1435 - [c35]Lorenzo Fagiano, Khanh Huynh, Bassam Bamieh, Mustafa Khammash:
Sensor fusion for tethered wings in airborne wind energy. ACC 2013: 2884-2889 - [c34]Aldo U. Zgraggen, Lorenzo Fagiano, Manfred Morari:
On real-time optimization of airborne wind energy generators. CDC 2013: 385-390 - [c33]Marko Tanaskovic, Lorenzo Fagiano, Roy S. Smith, Paul Goulart, Manfred Morari:
Adaptive model predictive control for constrained linear systems. ECC 2013: 382-387 - [c32]Lorenzo Fagiano, Aldo U. Zgraggen, Mustafa Khammash, Manfred Morari:
Automatic control of tethered wings for airborne wind energy: Design and experimental results. ECC 2013: 992-997 - [i9]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 abs/1301.1064 (2013) - [i8]Lorenzo Fagiano, Trevor Marks:
Design of a small-scale prototype for research in airborne wind energy. CoRR abs/1307.4215 (2013) - [i7]Lorenzo Fagiano, Carlo Novara:
Identification of nonlinear controllers from data: theory and computation. CoRR abs/1309.1574 (2013) - [i6]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 abs/1309.5304 (2013) - [i5]Aldo U. Zgraggen, Lorenzo Fagiano, Manfred Morari:
Real-time Optimization and Adaptation of the Crosswind Flight of Tethered Wings for Airborne Wind Energy. CoRR abs/1310.0586 (2013) - 2012
- [j7]Lorenzo Fagiano, Massimo Canale, Mario Milanese:
Set membership approximation of discontinuous nonlinear model predictive control laws. Autom. 48(1): 191-197 (2012) - [j6]Lorenzo Fagiano, Mario Milanese, Valentino Razza, Mario Bonansone:
High-Altitude Wind Energy for Sustainable Marine Transportation. IEEE Trans. Intell. Transp. Syst. 13(2): 781-791 (2012) - [c31]Georg Schildbach, Giuseppe Carlo Calafiore, Lorenzo Fagiano, Manfred Morari:
Randomized Model Predictive Control for stochastic linear systems. ACC 2012: 417-422 - [c30]Lorenzo Fagiano, Mario Milanese:
Airborne Wind Energy: An overview. ACC 2012: 3132-3143 - [c29]Lorenzo Fagiano, Mustafa Khammash:
Nonlinear stochastic model predictive control via regularized polynomial chaos expansions. CDC 2012: 142-147 - [c28]Carlo Novara, Lorenzo Fagiano, Mario Milanese:
DFK control design for nonlinear systems. CDC 2012: 2140-2145 - [c27]Giuseppe Carlo Calafiore, Lorenzo Fagiano:
Model predictive control of stochastic LPV systems via Random Convex Programs. CDC 2012: 3233-3238 - [c26]Giuseppe Carlo Calafiore, Daniel Lyons, Lorenzo Fagiano:
On mixed-integer random convex programs. CDC 2012: 3508-3513 - [i4]Lorenzo Fagiano, Mustafa Khammash:
Simulation of stochastic systems via polynomial chaos expansions and convex optimization. CoRR abs/1202.0753 (2012) - [i3]Giuseppe Carlo Calafiore, Lorenzo Fagiano:
Robust Model Predictive Control via Scenario Optimization. CoRR abs/1206.0038 (2012) - [i2]Lorenzo Fagiano, Andrew R. Teel:
On generalized terminal state constraints for model predictive control. CoRR abs/1207.0788 (2012) - [i1]Lorenzo Fagiano, Khanh Huynh, Bassam Bamieh, Mustafa Khammash:
On sensor fusion for airborne wind energy systems. CoRR abs/1211.5060 (2012) - 2011
- [c25]Carlo Novara, Lorenzo Fagiano, Mario Milanese:
Direct data-driven inverse control of a power kite for high altitude wind energy conversion. CCA 2011: 240-245 - [c24]Giuseppe Carlo Calafiore, Lorenzo Fagiano:
Robust model predictive control: The random convex programming approach. CACSD 2011: 222-227 - [c23]Lorenzo Fagiano, Mustafa Khammash, Carlo Novara:
On the guaranteed accuracy of Polynomial Chaos Expansions. CDC/ECC 2011: 728-733 - [c22]Giuseppe Carlo Calafiore, Lorenzo Fagiano:
Robust model predictive control via random convex programming. CDC/ECC 2011: 1910-1915 - [c21]Lorenzo Fagiano, Carlo Novara:
Improvement of Moving Horizon Estimators via Direct Virtual Sensor techniques. CDC/ECC 2011: 3313-3318 - [c20]Carlo Novara, Lorenzo Fagiano, Mario Milanese:
Sparse Set Membership identification of nonlinear functions and application to control of power kites for wind energy conversion. CDC/ECC 2011: 3640-3645 - 2010
- [j5]Massimo Canale, Lorenzo Fagiano, Mario Milanese:
Efficient Model Predictive Control for Nonlinear Systems via Function Approximation Techniques. IEEE Trans. Autom. Control. 55(8): 1911-1916 (2010) - [j4]Massimo Canale, Lorenzo Fagiano, Mario Milanese:
High Altitude Wind Energy Generation Using Controlled Power Kites. IEEE Trans. Control. Syst. Technol. 18(2): 279-293 (2010) - [c19]Massimo Canale, Lorenzo Fagiano, Carlo Novara:
Vehicle Side-slip Angle Estimation using a Direct MH Estimator. CCA 2010: 167-172 - [c18]Massimo Canale, Lorenzo Fagiano, Mario Milanese, Valentino Razza:
Control of Tethered Airfoils for Sustainable Marine Transportation. CCA 2010: 1904-1909 - [c17]Massimo Canale, Lorenzo Fagiano, Maria Carmela Signorile:
Vehicle lateral stability using a front steer by wire device and Set Membership Predictive Control techniques. ACC 2010: 1483-1488 - [c16]Mario Milanese, Lorenzo Fagiano, Dario Piga:
Control as a key technology for a radical innovation in wind energy generation. ACC 2010: 2361-2377 - [c15]Lorenzo Fagiano, Mario Milanese, Valentino Razza, I. Gerlero:
Control of power kites for naval propulsion. ACC 2010: 4325-4330 - [c14]Massimo Canale, Lorenzo Fagiano, Carlo Novara:
A direct Moving Horizon approach to vehicle side-slip angle estimation. CDC 2010: 2898-2903
2000 – 2009
- 2009
- [j3]Massimo Canale, Lorenzo Fagiano, Mario Milanese:
Set Membership approximation theory for fast implementation of Model Predictive Control laws. Autom. 45(1): 45-54 (2009) - [j2]Massimo Canale, Lorenzo Fagiano, Antonella Ferrara, Claudio Vecchio:
Comparing Internal Model Control and Sliding-Mode Approaches for Vehicle Yaw Control. IEEE Trans. Intell. Transp. Syst. 10(1): 31-41 (2009) - [c13]Massimo Canale, Lorenzo Fagiano, Valentino Razza:
Vehicle lateral stability control via approximated NMPC: real-time implementation and software-in-the-loop test. CDC 2009: 4596-4601 - [c12]Lorenzo Fagiano, Massimo Canale, Mario Milanese:
Set Membership approximation of discontinuous NMPC laws. CDC 2009: 8636-8641 - [c11]Massimo Canale, Lorenzo Fagiano, Mario Milanese, Carlo Novara:
Set membership approximations of Predictive Control laws: The tradeoff between accuracy and complexity. ECC 2009: 2426-2431 - 2008
- [j1]Massimo Canale, Lorenzo Fagiano, Antonella Ferrara, Claudio Vecchio:
Vehicle Yaw Control via Second-Order Sliding-Mode Technique. IEEE Trans. Ind. Electron. 55(11): 3908-3916 (2008) - [c10]Massimo Canale, Lorenzo Fagiano, Fredy Ruiz, Maria Carmela Signorile:
On the design of linear virtual sensors for low cost vehicle stability control. CCA 2008: 1-6 - [c9]Massimo Canale, Lorenzo Fagiano, Antonella Ferrara, Claudio Vecchio:
A comparison between IMC and Sliding Mode approaches to vehicle yaw control. ACC 2008: 248-253 - [c8]Massimo Canale, Lorenzo Fagiano, Fredy Ruiz, Maria Carmela Signorile:
A study on the use of virtual sensors in vehicle control. CDC 2008: 4402-4407 - [c7]Massimo Canale, Lorenzo Fagiano, Mario Milanese:
On the use of approximated predictive control laws for nonlinear systems. CDC 2008: 4712-4717 - [c6]Massimo Canale, Lorenzo Fagiano:
Vehicle yaw control using a fast NMPC approach. CDC 2008: 5360-5365 - 2007
- [c5]Massimo Canale, Lorenzo Fagiano:
A robust IMC approach for stability control of 4WS vehicles. ACC 2007: 2283-2288 - [c4]Massimo Canale, Lorenzo Fagiano, Mario Milanese, Massimo Ippolito:
KiteGen project: control as key technology for a quantum leap in wind energy generators. ACC 2007: 3522-3528 - [c3]Massimo Canale, Lorenzo Fagiano, Mario Milanese:
Fast implementation of predictive controllers using SM approximation methodologies. CDC 2007: 1361-1367 - 2006
- [c2]Massimo Canale, Lorenzo Fagiano, Mario Milanese, Pandeli Borodani:
Robust vehicle yaw control using active differential and internal model control techniques. ACC 2006: 1-6 - [c1]Massimo Canale, Lorenzo Fagiano, Massimo Ippolito, Mario Milanese:
Control of tethered airfoils for a new class of wind energy generator. CDC 2006: 4020-4026
Coauthor Index
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Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:18 CEST by the dblp team
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