Lorenzo Fagiano mostly deals with Model predictive control, Control theory, Mathematical optimization, Wind power and Optimal control. His work is dedicated to discovering how Model predictive control, Linear system are connected with Stability and other disciplines. His research related to Robust control and Nonlinear control might be considered part of Control theory.
His Mathematical optimization study deals with Randomized algorithm intersecting with Nonlinear system. He has researched Wind power in several fields, including Energy, Aerospace engineering, Automotive engineering and Renewable energy. Within one scientific family, Lorenzo Fagiano focuses on topics pertaining to Scenario optimization under Optimal control, and may sometimes address concerns connected to Computational complexity theory, Robustness and Optimization problem.
Lorenzo Fagiano focuses on Control theory, Wind power, Model predictive control, Mathematical optimization and Nonlinear system. Lorenzo Fagiano works mostly in the field of Control theory, limiting it down to concerns involving Control engineering and, occasionally, Yaw and Control system. He has researched Wind power in several fields, including Power, Aerodynamics, Aerospace engineering, Wing and Wind speed.
As part of the same scientific family, Lorenzo Fagiano usually focuses on Model predictive control, concentrating on Linear system and intersecting with Algorithm. His work on Optimal control and Optimization problem as part of his general Mathematical optimization study is frequently connected to Convex optimization and Constraint satisfaction, thereby bridging the divide between different branches of science. His Optimal control research incorporates elements of Robustness and Scenario optimization.
His primary scientific interests are in Model predictive control, Set, Mathematical optimization, Linear system and Control theory. He interconnects Predictive modelling and Control theory in the investigation of issues within Model predictive control. Mathematical optimization is closely attributed to Routing in his work.
His work in Linear system addresses issues such as Algorithm, which are connected to fields such as Noise measurement and Recurrent neural network. His study in the field of Nonlinear system is also linked to topics like Process. His Nonlinear system study incorporates themes from Dynamical systems theory and Scenario optimization.
Lorenzo Fagiano mainly focuses on Model predictive control, Convergence, Set, Control theory and Mathematical optimization. In his papers, Lorenzo Fagiano integrates diverse fields, such as Model predictive control and Sequence. His Control theory study frequently draws parallels with other fields, such as Propeller.
His Propeller research focuses on Flight control surfaces and how it connects with Wind power. His study in Mathematical optimization is interdisciplinary in nature, drawing from both Microgrid and Energy market. His Robustness research is multidisciplinary, incorporating elements of Elevator, Aileron, Takeoff and Winch.
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High Altitude Wind Energy Generation Using Controlled Power Kites
M. Canale;L. Fagiano;M. Milanese.
IEEE Transactions on Control Systems and Technology (2010)
Robust Model Predictive Control via Scenario Optimization
Giuseppe C. Calafiore;L. Fagiano.
IEEE Transactions on Automatic Control (2013)
The scenario approach for Stochastic Model Predictive Control with bounds on closed-loop constraint violations
Georg Schildbach;Lorenzo Fagiano;Christoph Frei;Manfred Morari.
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 Transactions on Control Systems and Technology (2014)
Vehicle Yaw Control via Second-Order Sliding-Mode Technique
M. Canale;L. Fagiano;A. Ferrara;C. Vecchio.
IEEE Transactions on Industrial Electronics (2008)
Power Kites for Wind Energy Generation [Applications of Control]
Massimo Canale;Lorenzo Fagiano;Mario Milanese.
IEEE Control Systems Magazine (2007)
Robust vehicle yaw control using an active differential and IMC techniques
Massimo Canale;Lorenzo Fagiano;Mario Milanese;P. Borodani.
Control Engineering Practice (2007)
KiteGen : A revolution in wind energy generation
Massimo Canale;Lorenzo Fagiano;Mario Milanese.
Generalized terminal state constraint for model predictive control
Lorenzo Fagiano;Lorenzo Fagiano;Andrew R. Teel.
Airborne Wind Energy: An overview
L. Fagiano;M. Milanese.
advances in computing and communications (2012)
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