Segui
Angelo Lerro
Titolo
Citata da
Citata da
Anno
Preliminary design of an actuation system for a morphing winglet
I Dimino, G Amendola, B Di Giampaolo, G Iannaccone, A Lerro
Mechanical and Aerospace Engineering (ICMAE), 2017 8th International …, 2017
252017
Survey on a neural network for non linear estimation of aerodynamic angles
A Lerro, M Battipede, P Gili, A Brandl
2017 Intelligent Systems Conference (IntelliSys), 929-935, 2017
212017
Preliminary design of a model-free synthetic sensor for aerodynamic angle estimation for commercial aviation
A Lerro, A Brandl, M Battipede, P Gili
Sensors 19 (23), 5133, 2019
182019
Advantages of Neural Network Based Air Data Estimation for Unmanned Aerial Vehicles
A Lerro, M Battipede, P Gili, A Brandl
International Journal of Mechanical, Aerospace, Industrial, Mechatronic and …, 2017
182017
Aerodynamic angle estimation: comparison between numerical results and operative environment data
A Lerro, M Battipede, P Gili, A Brandl
CEAS Aeronautical Journal 11 (1), 249-262, 2020
172020
The clean sky 2 midas project-an innovative modular, digital and integrated air data system for fly-by-wire applications
A Lerro, M Battipede, P Gili, M Ferlauto, A Brandl, A Merlone, ...
2019 IEEE 5th International Workshop on Metrology for AeroSpace …, 2019
162019
Sensitivity analysis of a neural network based avionic system by simulated fault and noise injection
A Brandl, M Battipede, P Gili, A Lerro
2018 AIAA Modeling and Simulation Technologies Conference, 0122, 2018
162018
Novel neural architecture for air data angle estimation
M Battipede, M Cassaro, P Gili, A Lerro
Engineering Applications of Neural Networks: 14th International Conference …, 2013
152013
Neural networks for air data estimation: Test of neural network simulating real flight instruments
M Battipede, P Gili, A Lerro
Engineering Applications of Neural Networks: 13th International Conference …, 2012
152012
Neural networks for air data estimation: Test of neural network simulating real flight instruments
M Battipede, P Gili, A Lerro
Engineering Applications of Neural Networks: 13th International Conference …, 2012
152012
A data-driven approach to identify flight test data suitable to design angle of attack synthetic sensor for flight control systems
A Lerro, A Brandl, M Battipede, P Gili
Aerospace 7 (5), 63, 2020
142020
Model-free scheme for angle-of-attack and angle-of-sideslip estimation
A Lerro, A Brandl, P Gili
Journal of Guidance, Control, and Dynamics 44 (3), 595-600, 2021
132021
Development of Neural Networks for Air Data Estimation: Training of Neural Network Using Noise-Corrupted Data
M Battipede, P Gili, A Lerro
132011
Safety analysis of a certifiable air data system based on synthetic sensors for flow angle estimation
A Lerro, M Battipede
Applied Sciences 11 (7), 3127, 2021
102021
Test in operative environment of an artificial neural network for aerodynamic angles estimation
A Lerro, M Battipede, A Brandl, P Gili, ALM Rolando, L Trainelli
28th Society of Flight Test Engineers European Chapter Symposium (SFTE-EC …, 2017
102017
System and process for measuring and evaluating air and inertial data
A Lerro, M Battipede, P Gili
Patent No. EP3022565A2 16, 2013
102013
Multi-objective and multi-phase 4D trajectory optimization for climate mitigation-oriented flight planning
A Vitali, M Battipede, A Lerro
Aerospace 8 (12), 395, 2021
72021
A new approach for the estimation of longitudinal damping derivatives: CFD validation on NACA 0012
P Gili, M Visone, A Lerro, F De Vivo, G Scognamiglio
WSEAS Transactions on Fluid Mechanics 10, 137-145, 2015
72015
Comparison between numerical results and operative environment data on neural network for air data estimation
A Lerro, M Battipede, P Gili, A Brandl
PROCEEDINGS of the 6th CEAS Air and Space Conference Aerospace Europe 2017, 1-20, 2017
62017
Experimental analysis of neural approaches for synthetic angle-of-attack estimation
A Lerro, P Gili, ML Fravolini, M Napolitano
International Journal of Aerospace Engineering 2021, 1-13, 2021
52021
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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