Publications
Publications in international peer-reviewed journals Publications as book chapters Ph.D. dissertation Publications in international conference proceedings Technical reports |
Publications in international peer-reviewed journals | |||
[J58] | L. Fagiano, M. Quack, F. Bauer, L. Carnel, and E. Oland, Autonomous Airborne Wind Energy Systems: Accomplishments and Challenges, Annual Review of Control, Robotics, and Autonomous Systems, vol. 5 | 2022 | |
[J57] | E. Terzi, M. Farina, L. Fagiano, R. Scattolini Robust multi-rate predictive control using multi-step prediction models learned from data, Automatica, pp. 109852 | 2021 | |
[J56] | L. Sabug, F. Ruiz, L. Fagiano SMGO: A set membership approach to data-driven global optimization, Automatica, vol. 133, pp. 109890 | 2021 | |
[J55] | D. Todeschini, L. Fagiano, C. Micheli, A. Cattano Control of a rigid wing pumping Airborne Wind Energy system in all operational phases, Control Engineering Practice, vol. 111, pp. 104794 | 2021 | |
[J54] | C. Vermillion, M. Cobb, L. Fagiano, R. Leuthold, M. Diehl, R.S. Smith, T.A. Wood, S. Rapp, R. Schmehl, D. Olinger, M. Demetriou Electricity in the air: Insights from two decades of advanced control research and experimental flight testing of airborne wind energy systems, Annual Reviews in Control | 2021 | |
[J53] | E. Terzi, T. Bonetti, D. Saccani, M. Farina, L. Fagiano, R. Scattolini, Learning-based predictive control of the cooling system of a large business centre, Control Engineering Practice, vol. 97, pp. 104348 | 2020 | |
[J52] | T. Samad et al., Industry engagement with control research: Perspective and messages, Annual Reviews in Control, doi:10.1016/j.arcontrol.2020.03.002 | 2020 | |
[J51] | M. Lauricella, L. Fagiano, Set Membership identification of linear systems with guaranteed simulation accuracy, IEEE Transactions on Automatic Control, In press, doi:10.1109/TAC.2020.2970146 | 2020 | |
[J50] | E. Terzi, L. Fagiano, M. Farina, R. Scattolini, Structured modelling from data and optimal control of the cooling system of a large business center, Journal of Building Engineering, Vol. 28, 101043 | 2020 | |
[J49] | E. Schmidt, M. De Lellis Costa de Oliveira, R. Saraiva da Silva, L. Fagiano, A. Trofino Neto, In-Flight Estimation of the Aerodynamics of Tethered Wings for Airborne Wind Energy, IEEE Transactions on Control Systems Technology, Vol. 28, n. 4, pp. 1309-1322 | 2020 | |
[J48] | H. Farooqi, L. Fagiano, P.Colaneri, D. Barlini, Shrinking horizon parametrized predictive control with application to energy-efficient train operation, Automatica, vol. 112, pp. 108635 | 2020 | |
[J47] | S. Watson et al., Future emerging technologies in the wind power sector: A European perspective, Renewable and Sustainable Energy Reviews, vol. 113, pp. 109270 | 2019 | |
[J46] | E. Terzi, M. Farina, L. Fagiano, R. Scattolini, Learning-based predictive control for linear systems: A unitary approach, Automatica, vol. 109, pp. 108473 | 2019 | |
[J45] | M. Tanaskovic, L. Fagiano, V. Gligorovski, Adaptive model predictive control for linear time varying MIMO systems , Automatica, vol. 105, pp. 237-245 | 2019 | |
[J44] | L. Fagiano, M. Lauricella, D. Angelosante, E. Ragaini, Identification of Induction Motors Using Smart Circuit Breakers, IEEE Transactions on Control Systems Technology, vol. 27, n. 6, pp.2638-2646 | 2019 | |
[J43] | L. Fagiano, E. Nguyen-Van, F. Rager, S. Schnez, C. Ohler, Autonomous Take-Off and Flight of a Tethered Aircraft for Airborne Wind Energy, IEEE Transactions on Control Systems Technology, vol. 26, n. 1, pp. 151-166. Click here for a short movie of experimental results | 2018 | |
[J42] | L. Fagiano, E. Nguyen-Van, F. Rager, S. Schnez, C. Ohler, A Small-Scale Prototype to Study the Take-Off of Tethered Rigid Aircrafts for Airborne Wind Energy, IEEE/ASME Transactions on Mechatronics, vol. 22, n. 4, pp. 1869-1880 | 2017 | |
[J41] | L. Fagiano, S. Schnez, On the Take-off of Airborne Wind Energy Systems Based on Rigid Wings, Renewable Energy, vol. 107, pp. 473-488 | 2017 | |
[J40] | M. Tanaskovic, L. Fagiano, C. Novara, M. Morari, Data-driven control of nonlinear systems: an online direct approach, Automatica, vol. 75, pp. 1-10 | 2017 | |
[J39] | L. Fagiano, R. Gati, On the Order Reduction of the Radiative Heat Transfer Model for the Simulation of Plasma Arcs in Switchgear Devices, Journal of Quantitative Spectroscopy and Radiative Transfer, vol. 169, pp. 58-78 | 2016 | |
[J38] | L. Fagiano, C. Novara, Learning a nonlinear controller from data: theory, computation and experimental results, IEEE Transactions on Automatic Control, vol. 61, n. 7, pp. 1854-1868. Click here for a short movie of experimental results. | 2016 | |
[J37] | A. Zgraggen, L. Fagiano, M. Morari, Automatic Retraction and Full Cycle Operation for a Class of Airborne Wind Energy Generators, IEEE Transactions on Control Systems Technology, vol. 24, n. 2, pp. 594-608. Click here for a short movie of experimental results | 2016 | |
[J36] | L. Fagiano, T. Marks, Design of a small-scale prototype for research in airborne wind energy, IEEE/ASME Transactions on Mechatronics,, vol. 20, n. 1, pp. 166-177 | 2015 | |
[J35] | A. Zgraggen, L. Fagiano, M. Morari, Real-time Optimization and Adaptation of the Crosswind Flight of Tethered Wings for Airborne Wind Energy, IEEE Transactions on Control Systems Technology, vol. 23, n. 2, pp. 434-448. Click here for a short movie of experimental results | 2015 | |
[J34] | A. Jain, G. Schildbach, L. Fagiano, M. Morari, On the Design and Tuning of Linear Model Predictive Control for Wind Turbines, Renewable Energy,, vol. 80, pp. 664-673 | 2015 | |
[J33] | G. Schildbach, L. Fagiano, C. Frei, M. Morari, The Scenario Approach for Stochastic Model Predictive Control with Bounds on Closed-Loop Constraint Violations, Automatica, vol. 50, n. 12, pp. 3009-3018 | 2014 | |
[J32] | M. Tanaskovic, L. Fagiano, M. Morari, On the optimal worst-case experiment design for constrained linear systems, Automatica, vol. 50, n. 12, pp. 3291-3298 | 2014 | |
[J31] | M. Tanaskovic, L. Fagiano, R. Smith, M. Morari, Adaptive receding horizon control for constrained MIMO systems, Automatica, vol. 50, n. 12, pp. 3019-3029 | 2014 | |
[J30] | M. Canale, L. Fagiano, C. Novara, A DVS-MHE Approach to Vehicle Side-Slip Angle Estimation, IEEE Transactions on Control Systems Technology, vol. 22, n. 5, pp. 2048-2055 | 2014 | |
[J29] | L. Fagiano, A. Zgraggen, M. Morari, M. Khammash, Automatic crosswind flight of tethered wings for airborne wind energy: modeling, control design and experimental results, IEEE Transactions on Control Systems Technology, vol. 22, n. 4, pp. 1433-1447. Click here for a short movie of experimental results | 2014 | |
[J28] | L. Fagiano, K. Huynh, B. Bamieh, M. Khammash, On sensor fusion for airborne wind energy generators, IEEE Transactions on Control Syst. Technology, vol. 22, n. 3, pp. 930-943 | 2014 | |
[J27] | M. Canale, L. Fagiano, M.C. Signorile, Nonlinear Model Predictive Control from data: a Set Membership approach, Int. J. of Robust and Nonlinear Control, vol. 24, n. 1, pp. 123-129 | 2014 | |
[J26] | L. Fagiano, A. Teel, Generalized terminal state constraint for model predictive control, Automatica, vol. 49, n. 9, pp. 2622-2631 | 2013 | |
[J25] | G. Schildbach, L. Fagiano, M. Morari, Randomized solutions to convex programs with multiple chance constraints, SIAM Journal on Optimization, vol. 23, n. 4, pp. 2479-2501 | 2013 | |
[J24] | G.C. Calafiore, L. Fagiano, Stochastic Model Predictive Control of LPV Systems via Scenario Optimization, Automatica, vol. 49, n. 6, pp. 1861-1866 | 2013 | |
[J23] | C. Novara, L. Fagiano, M. Milanese, Direct feedback control design for nonlinear systems, Automatica, vol. 49, n. 4, pp. 849-860 | 2013 | |
[J22] | G.C. Calafiore, L. Fagiano, Robust Model Predictive Control via Scenario Optimization, IEEE Transactions on Automatic Control, vol. 58, n. 1, pp. 219-224 | 2013 | |
[J21] | L. Fagiano, C. Novara, A combined Moving Horizon and Direct Virtual Sensor approach for constrained nonlinear estimation, Automatica, vol. 49, n. 1, pp. 193-199 | 2013 | |
[J20] | M. Canale, L. Fagiano, M.C. Signorile, Design of Robust Predictive Control Laws Using Set Membership Identified Models, Asian Journal of Control, vol. 15, n. 6, pp. 1714-1722 | 2013 | |
[J19] | L. Fagiano, M. Khammash, Simulation of stochastic systems via polynomial chaos expansions and convex optimization, Physical Reviwes E, vol. 86, n. 3, 036702 | 2012 | |
[J18] | L. Fagiano, M. Milanese, V. Razza, M. Bonansone, High-Altitude Wind Energy for Sustainable Marine Transportation, IEEE Transactions on Intelligent Transportation Systems, vol. 13, n. 2, pp. 781-791 | 2012 | |
[J17] | M. Canale, L. Fagiano, M.C. Signorile, A model predictive control approach to vehicle yaw control using identified models, Proceedings of the Institution of mechanical engineers. Part D, Journal of Automobile Engineering , vol. 226 n. 5, pp. 577-590 | 2012 | |
[J16] | M. Canale, L. Fagiano, F. Ruiz, M.C. Signorile, Vehicle stability control using direct virtual sensors, Vehicle Systems Dynamics , vol. 50 n. 4, pp. 597-618 | 2012 | |
[J15] | L. Fagiano, M. Canale, M. Milanese, Set Membership approximation of discontinuous Nonlinear Model Predictive Control laws, Automatica , vol. 48, pp. 191-197 | 2012 | |
[J14] | L. Fagiano, M. Milanese, D. Piga, Optimization of Airborne Wind Energy generators , Int. J. of Robust and Nonlinear Control , in press, doi: 10.1002/rnc.1808 | 2012 | |
[J13] | M. Canale, L. Fagiano, M. Milanese and C. Novara, Set Membership approximations of predictive control laws: the tradeoff between accuracy and complexity, IET Control Theory & Applications 12-4, pp. 2907-2920 | 2010 | |
[J12] | M. Canale, L. Fagiano and M. Milanese, Efficient model predictive control for nonlinear systems via function approximation techniques, IEEE Transactions on Automatic Control 55-8, pp. 1911-1916 | 2010 | |
[J11] | M. Canale, L. Fagiano, V. Razza, Approximate NMPC for vehicle stability: Design, implementation and SIL testing, Control Engineering Practice 18-6, pp. 630-639 | 2010 | |
[J10] | M. Canale, L. Fagiano and M. Milanese, High Altitude Wind Energy Generation Using Controlled Power Kites, IEEE Transactions on Control Systems Technology, 18-2, pp. 279-293 | 2010 | |
[J9] | L. Fagiano, M. Milanese and D. Piga. High altitude wind power generation, IEEE Transactions on Energy Conversion, 25-1, pp. 168-180 | 2010 | |
[J8] | M. Canale and L. Fagiano, Comparing Rear Wheel Steering and Rear Active Differential Approaches to vehicle yaw control, Vehicle Systems Dynamics, 48-5, pp. 529-546 | 2010 | |
[J7] | M. Canale, L. Fagiano, A. Ferrara and C. Vecchio, Comparing Internal Model Control and Sliding Mode Approaches for Vehicle Yaw Control, IEEE Transactions on Intelligent Transportation Systems 10, pp. 31-41 | 2009 | |
[J6] | M. Canale, L. Fagiano and M. Milanese, KiteGen: a revolution in wind energy generation, Energy 34, pp. 355-361 | 2009 | |
[J5] | M. Canale, L. Fagiano and M. Milanese, Set Membership approximation theory for fast implementation of Model Predictive Control laws, Automatica 45, pp. 45-54 | 2009 | |
[J4] | M. Canale, L. Fagiano, A. Ferrara and C. Vecchio, Vehicle Yaw Control via Second Order Sliding Mode Control Technique, IEEE Transactions on Industrial Electronics 55, pp. 3908-3916 | 2008 | |
[J3] | M. Canale and L. Fagiano, Stability control of 4WS vehicles using robust IMC techniques, Vehicle System Dynamics 46, pp. 991-1011 | 2008 | |
[J2] | M. Canale, L. Fagiano and M. Milanese, Power Kites for Wind Energy Generation, IEEE Control Systems Magazine, 27, pp. 25-38 | 2007 | |
[J1] | M. Canale, L. Fagiano, M. Milanese and P. Borodani, Robust vehicle yaw control using an active differential and IMC techniques, Control Engineering Practice 15, pp. 923-941 | 2007 | |
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Publications as book chapters | ||
[B3] | L. Fagiano, E. Nguyen-Van, S. Schnez, Linear Take-Off and Landing of a Rigid Aircraft for Airborne Wind Energy Extraction In: R. Schmehl (Ed.): Airborne Wind Energy, Advances in Technology Development and Research, Ch. 20, pp. 491-514, Springer | 2018 |
[B2] | L. Fagiano, A. Zgraggen, M. Morari, On Modeling, Filtering and Automatic Control of Flexible Tethered Wings for Airborne Wind Energy In: U. Ahrens et al. (Eds.): Airborne Wind Energy, Springer | 2013 |
[B1] | M. Canale, L. Fagiano and M. Milanese, Fast Nonlinear Model Predictive Control via Set Membership approximation: an overview. In: L. Magni et al. (Eds.): Nonlinear Model Predictive Control - Towards New Challenging Applications, LNCIS 384, pp. 461-470. Springer | 2009 |
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Ph.D. dissertation | ||
[T1] | L. Fagiano, Control of Tethered Airfoils for High-Altitude Wind Energy Generation, Politecnico di Torino, Italy. | 2009 |
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Publications in international conference proceedings | ||
[C69] | J. R. Salvador, E. Terzi, M. Farina, D. R. Ramirez, L. Fagiano, D. Muñoz de la Peña, R. Scattolini Learning-Based Predictive Control for MIMO Systems, In Conference on Decision and Control, pp. 7671-7676 Nice, France, 11-13 December | 2019 |
[C68] | D. Todeschini, L. Fagiano, C. Micheli, A. Cattano, Control of vertical take off, dynamic flight and landing of hybrid drones for airborne wind energy systems, In American Control Conference, Philadelphia, PA, July 10-12 | 2019 |
[C67] | A. La Bella, L. Fagiano, R. Scattolini, Set membership estimation of day-ahead microgrids scheduling, In 18th European Control Conference, pp. 1412-1417, Napoli, Italia, 26-28 June | 2019 |
[C66] | M. Lauricella, L. Fagiano, On the identification of linear time invariant systems with guaranteed simulation error bounds, In 57th IEEE Conference on Decision and Control, pp. 1439-1444, Miami Beach, Florida, December 17-19 | 2018 |
[C65] | H. Farooqi, L. Fagiano, P.Colaneri, Efficient Train Operation via Shrinking Horizon Parametrized Predictive Control, In 6th IFAC Conference on Nonlinear Model Predictive Control NMPC, Madison, Wisconsin, August 19-22 | 2018 |
[C64] | M. Tanaskovic; L. Fagiano; V. Gligorovski, Adaptive Model Predictive Control for Constrained Time Varying Systems, In European Control Conference, pp. 1698-1703, Limassol, Cyprus, 13-15 June | 2018 |
[C63] | E. Terzi, M. Farina, L. Fagiano, R. Scattolini, Robust predictive control with data-based multi-step prediction models, In European Control Conference, pp. 1710-1715, Limassol, Cyprus, 13-15 June | 2018 |
[C62] | E. Terzi, L. Fagiano, M. Farina, R. Scattolini, Learning multi-step prediction models for receding horizon control, In European Control Conference, pp. 1335-1340, Limassol, Cyprus, 13-15 June | 2018 |
[C61] | D. Angelosante, L. Fagiano, F. Grasso, E. Ragaini, Motor parameters estimation from industrial electrical measurements, In 25th European Signal Processing Conference (EUSIPCO), pp. 1335-1340, Kos, Greece, 28 August - 2 September | 2017 |
[C60] | L. Fagiano, Systems of Tethered Multicopters: Modeling and Control Design, In IFAC World Congress, Tolouse, France, 9-14 July | 2017 |
[C59] | L. Fagiano, E. Nguyen-Van, F. Rager, S. Schnez, C. Ohler, Automatic Take-Off of a Tethered Aircraft for Airborne Wind Energy: Control Design and Experimental Results, In IFAC World Congress, Tolouse, France, 9-14 July | 2017 |
[C58] | E. Nguyen-Van, L. Fagiano, S. Schnez, On the autonomous take-off and landing of tethered wings for airborne wind energy. In American Control Conference, pp. 4077- 4082, Boston, MA, July 6-8 | 2016 |
[C57] | M. Tanaskovic, L. Fagiano, C. Novara, M. Morari, On-Line Direct Control Design for Nonlinear Systems. In 17th IFAC Symposium on System Identification, SYSID 2015, Beijing, China, October 19-21 | 2015 |
[C56] | L. Fagiano, G. Schildbach, M. Tanaskovic, M. Morari, Scenario and Adaptive Model Predictive Control of Uncertain Systems. In 5th IFAC Conference on Nonlinear Model Predictive Control, Seville, Spain, September 17-20 | 2015 |
[C55] | L. Fagiano, C. Novara, Learning a Nonlinear Controller from Data: Theory and Computation. In 53rd IEEE Conference on Decision and Control, Los Angeles, CA, December 15-17 | 2014 |
[C54] | B. Galletti, M. Buffoni, H.J. Ferreau, L. Fagiano, M. Mercangoez, Active Pitch Control of Tethered Wings for Airborne Wind Energy. In 53rd IEEE Conference on Decision and Control, Los Angeles, CA, December 15-17 | 2014 |
[C53] | A. Zgraggen, L. Fagiano, M. Morari, On Modeling and Control of the Retraction Phase for Airborne Wind Energy Systems, In 53rd IEEE Conference on Decision and Control, Los Angeles, CA, December 15-17 | 2014 |
[C52] | M. Tanaskovic, L. Fagiano, M. Morari, Worst-Case Experiment Design for Constrained MISO Systems. In 53rd IEEE Conference on Decision and Control, Los Angeles, CA, December 15-17 | 2014 |
[C51] | A. Zgraggen, L. Fagiano, M. Morari, Automatic Retraction Phase of Airborne Wind Energy Systems. In 19th IFAC World Congress, Cape Town, South Africa, August 24-29 | 2014 |
[C50] | L. Fagiano, C. Novara, Automatic Crosswind Flight of Tethered Wings for Airborne Wind Energy: A Direct Data-Driven Approach, In 19th IFAC World Congress, Cape Town, South Africa, August 24-29 | 2014 |
[C49] | M. Tanaskovic, L. Minnetian, L. Fagiano, M. Morari, Experimental Testing of an Adaptive Model Predictive Controller on a Quad-Tank System. In 13th European Control Conference, Strasbourg, France, June 24-27 | 2014 |
[C48] | A. Zgraggen, L. Fagiano, M. Morari, On Real-Time Optimization of Airborne Wind Energy Generators, In 52nd IEEE Conference on Decision and Control, Firenze, Italy, December 10-13 | 2013 |
[C47] | M. Tanaskovic, L. Fagiano, R. S. Smith, M. Morari, Adaptive model predictive control for constrained MIMO systems. In 11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, Caen, France, July 3-5 | 2013 |
[C46] | L. Fagiano, A. Zgraggen, M. Morari, M. Khammash, Automatic control of tethered wings for airborne wind energy: design and experimental results. In European Control Conference 2013, Zurich, Switzerland, July 17-19 | 2013 |
[C45] | M. Tanaskovic, L. Fagiano, R. S. Smith, P. J. Goulart, M. Morari, Adaptive model predictive control for constrained linear systems. In European Control Conference 2013, Zurich, Switzerland, July 17-19 | 2013 |
[C44] | L. Fagiano, A. Zgraggen, M. Morari, M. Khammash, On control of tethered wings for airborne wind energy. In American Control Conference 2013, Washington DC, June 17-19 | 2013 |
[C43] | L. Fagiano, K. Huynh, B. Bamieh, M. Khammash, Sensor fusion for airborne wind energy systems. In American Control Conference 2013, Washington DC, June 17-19 | 2013 |
[C42] | G. Calafiore, D. Lyons, L. Fagiano, On mixed-integer random convex programs. In Proc. of the 51st IEEE Conference on Decision and Control, pp. 3508 – 3513, Maui, Hawaii, December 10-13 | 2012 |
[C41] | C. Novara, L. Fagiano, M. Milanese, DFK control design for nonlinear systems. In Proc. of the 51st IEEE Conference on Decision and Control, pp. 2140 – 2145, Maui, Hawaii, December 10-13 | 2012 |
[C40] | G. Calafiore, L. Fagiano, Model predictive control of stochastic LPV systems via Random Convex Programs. In Proc. of the 51st IEEE Conference on Decision and Control, pp. 3233 – 3238, Maui, Hawaii, December 10-13 | 2012 |
[C39] | L. Fagiano, M. Khammash, Nonlinear stochastic model predictive control via regularized polynomial chaos expansions. In Proc. of the 51st IEEE Conference on Decision and Control, pp. 142 – 147, Maui, Hawaii, December 10-13 | 2012 |
[C38] | L. Fagiano and A. Teel, Model predictive control with generalized terminal state constraint. In IFAC Conference on Nonlinear Model Predictive Control, NMPC 2012, Noordwijkerhout, the Netherlands, August 23-27 | 2012 |
[C37] | G. Schildbach, G. Calafiore, L. Fagiano and M. Morari, Randomized Model Predictive Control for Stochastic Linear Systems. In American Control Conference, ACC 2012, Montreal, Canada, June 27-29 | 2012 |
[C36] | L. Fagiano and M. Milanese, Airborne Wind Energy: an overview. In American Control Conference, ACC 2012, Montreal, Canada, June 27-29 | 2012 |
[C35] | L. Fagiano, M. Khammash, C. Novara, On the guaranteed accuracy of polynomial chaos expansions, In Proc. of the 50th IEEE Conference on Decision and Control and European Control Conference, Orlando, Florida, December 12-15 | 2011 |
[C34] | C. Novara, L. Fagiano, M. Milanese, Sparse identification of nonlinear functions and nonparametric Set Membership optimality analysis, In Proc. of the 50th IEEE Conference on Decision and Control and European Control Conference, Orlando, Florida, December 12-15 | 2011 |
[C33] | G. Calafiore, L. Fagiano, Robust Model Predictive Control via Random Convex Programming, In Proc. of the 50th IEEE Conference on Decision and Control and European Control Conference, Orlando, Florida, December 12-15 | 2011 |
[C32] | L. Fagiano, C. Novara, Improvement of Moving Horizon Estimators via Direct Virtual Sensor techniques, In Proc. of the 50th IEEE Conference on Decision and Control and European Control Conference, Orlando, Florida, December 12-15 | 2011 |
[C31] | G. Calafiore, L. Fagiano, Robust Model Predictive Control: the Random Convex Programming approach, In Proc. of the IEEE Multi-Conference on Systems and Control, Denver (CO), USA, September 28-30 | 2011 |
[C30] | C. Novara, L. Fagiano, M. Milanese, Direct Data-Driven Inverse Control of a Power Kite for High Altitude Wind Energy Conversion, In Proc. of the IEEE Multi-Conference on Systems and Control, Denver (CO), USA, September 28-30 | 2011 |
[C29] | M. Canale, L. Fagiano, M.C. Signorile, Robust Design of Predictive Controllers Using Set Membership Identified Models, In Proc. of the 8th IFAC World Congress , pp. 13414-13419, Milano, Italy, August 28 - September 2 | 2011 |
[C28] | L. Fagiano, M. Milanese, V. Razza, Optimization and control of a hybrid kite boat, In Proc. of the 8th IFAC World Congress , pp. 14748- 14753, Milano, Italy, August 28 - September 2 | 2011 |
[C27] | M. Canale, L. Fagiano, C. Novara, A Direct Moving Horizon Approach to Vehicle Side-Slip Angle Estimation. In 49th IEEE Conference on Decision and Control, Atlanta, GA, USA. | 2010 |
[C26] | M. Canale, L. Fagiano, C. Novara, Vehicle side-slip angle estimation using a direct MH estimator. In IEEE Multi-conference on Systems and Control, Yokohama, Japan. | 2010 |
[C25] | M. Canale, L. Fagiano, M. Milanese, V. Razza, Control of tethered airfoils for sustainable marine transportation, In IEEE Multi-conference on Systems and Control, pp. 1904-1909, Yokohama, Japan. | 2010 |
[C24] | M. Canale, L. Fagiano, M. Milanese, M.C. Signorile, Nonlinear Model Predictive Control using Set Membership Approximated Models. In UKACC International Conference on Control (CONTROL 2010), Coventry, UK. | 2010 |
[C23] | M. Canale, L. Fagiano, M.C. Signorile, On the Robustness of Receding Horizon Control using Nonlinear Approximated Models. In 8th IFAC Symposium on Nonlinear Control Systems (NOLCOS 2010), Bologna, Italy. | 2010 |
[C22] | M. Canale, L. Fagiano, M.C. Signorile, Vehicle Lateral Stability Using a Front Steer by Wire Device and Set Membership Predictive Control techniques. In 2010 American Control Conference, Baltimore, Maryland, USA. | 2010 |
[C21] | L. Fagiano, M. Milanese, V. Razza, I. Gerlero, Control of Power Kites for Naval Propulsion. In 2010 American Control Conference, Baltimore, Maryland, USA. | 2010 |
[C20] | M. Milanese, L. Fagiano, D. Piga, Control As a Key Technology for a Radical Innovation in Wind Energy Generation. In 2010 American Control Conference, Baltimore, Maryland, USA. | 2010 |
[C19] | L. Fagiano, M. Milanese, V. Razza, I. Gerlero, Offshore High-Altitude Wind Energy Using Controlled Airfoils. In European Wind Energy Conference (EWEC), Warsaw, Poland. | 2010 |
[C18] | L. Fagiano, M. Canale, M. Milanese, Set Membership approximation of discontinuous NMPC laws. In 48th IEEE Conference on Decision and Control, Shanghai, China. | 2009 |
[C17] | M. Canale, L. Fagiano, V. Razza, Vehicle lateral stability control via approximated NMPC: real-time implementation and software-in-the-loop test. In 48th IEEE Conference on Decision and Control, Shanghai, China. | 2009 |
[C16] | M. Canale, L. Fagiano, M. Milanese and C. Novara, Set Membership approximations of predictive control laws: the tradeoff between accuracy and complexity. In 10th European Control Conference, Budapest, Hungary. | 2009 |
[C15] | L. Fagiano, M. Milanese and D. Piga, High-altitude wind power generation for renewable energy cheaper than oil. In Sustainable development: a challenge for European research, Brussels, Belgium. | 2009 |
[C14] | M. Canalem L. Fagiano and M. Milanese, On the use of approximated predictive control laws for nonlinear systems. In 47th IEEE Conference on Decision and Control, Cancun, Mexico. | 2008 |
[C13] | M. Canale and L. Fagiano. Vehicle yaw control using a fast NMPC approach. In 47th IEEE Conference on Decision and Control, Cancun, Mexico. | 2008 |
[C12] | M. Canale, L. Fagiano, F. Ruiz and M. C. Signorile. A study on the use of virtual sensors in vehicle control. In 47th IEEE Conference on Decision and Control, Cancun, Mexico. | 2008 |
[C11] | M. Canale, L. Fagiano and M.Milanese. Fast Nonlinear Model Predictive Control via Set Membership approximation: an overview. In Int. Workshop on Assessment and Future Directions of NMPC, Pavia, Italy. | 2008 |
[C10] | M. Canale, L. Fagiano and M. Milanese. Fast Nonlinear Model Predictive Control Using Set Membership Approximation. In 17th IFAC World Congress, Seoul, Korea. | 2008 |
[C9] | M. Canale, L. Fagiano, A. Ferrara and C. Vecchio. A Comparison Between IMC and Sliding Mode Approaches to Vehicle Yaw Control. In 27th American Control Conference, Seattle, WA. | 2008 |
[C8] | M. Canale, L. Fagiano, F. Ruiz and M. C. Signorile. On the design of linear virtual sensors for low cost vehicle stability control. In IEEE Multi-conference on Systems and Control, San Antonio, TX. | 2008 |
[C7] | M. Canale, L. Fagiano, M. Milanese. Fast implementation of predictive controllers using SM approximation methodologies. In 46th IEEE Conference on Decision and Control, New Orleans, LA. | 2007 |
[C6] | M. Canale, L. Fagiano. Comparing RWS and RAD approaches in robust vehicle yaw control. In 9th European Control Conference, Kos, Greece. | 2007 |
[C5] | M. Canale, L. Fagiano, M. Milanese. KiteGen project: control as key technology for a quantum leap in wind energy generators. In 26th American Control Conference, New York. | 2007 |
[C4] | M. Canale, L. Fagiano. A robust IMC approach for stability control of 4WS vehicles. In 26th American Control Conference, New York. | 2007 |
[C3] | M. Canale, L. Fagiano, M. Milanese. KiteGen: a revolution in wind energy generation. In 5th Biennal international workshop "Advances in energy studies: perspectives on energy future", Portovenere, Italy. | 2006 |
[C2] | M. Canale, L. Fagiano, M. Ippolito, M. Milanese. Control of tethered airfoils for a new class of wind energy generator. In 45th IEEE Conference on Decision and Control, San Diego, CA. | 2006 |
[C1] | M. Canale, L. Fagiano, M. Milanese, P. Borodani. Robust vehicle yaw control using active differential and Internal Model Control techniques. In 25th American Control Conference, Minneapolis, MN | 2006 |
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Technical reports | ||
[TR1] | G.C. Calafiore and L. Fagiano, Robust model predictive control via scenario optimization - proof of theorem 4.1 , Technical report n. TR_CaFa_01122011 | 2011 |
[TR2] | L. Fagiano, M. Milanese and D. Piga High%u2013altitude wind power generation, Technical report n. DAUIN_TR_FaMiPi_27082009 | 2009 |
[TR3] | M. Canale, L. Fagiano, M. Milanese and C. Novara. Set Membership approximations of predictive control laws: the tradeoff between accuracy and complexity, Technical report n. DAUIN_TR_CaFaMiNo_09062009 | 2009 |
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