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 | 22 | 2017 |
Joseph covariance formula adaptation to square-root sigma-point Kalman filters F De Vivo, A Brandl, M Battipede, P Gili Nonlinear Dynamics 88 (3), 1969-1986, 2017 | 20 | 2017 |
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 | 19 | 2017 |
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 | 18 | 2020 |
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 | 18 | 2019 |
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 | 17 | 2018 |
Model-Free Scheme for Angle-of-Attack and Angle-of-Sideslip Estimation A Lerro, A Brandl, P Gili Journal of Guidance, Control, and Dynamics, 1-6, 2020 | 16 | 2020 |
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 | 16 | 2020 |
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 | 16 | 2019 |
Ill-conditioned problems improvement adapting Joseph covariance formula to non-linear Bayesian filters F De Vivo, M Battipede, P Gili, A Brandl, W Press WSEAS Transactions on Electronics 7, 18-25, 2016 | 13 | 2016 |
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 | 12 | 2017 |
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, 1-20, 2017 | 7 | 2017 |
Air data virtual sensor: a data-driven approach to identify flight test data suitable for the learning process A Brandl, A Lerro, M Battipede, P Gili Proceedings of the 5th CEAS Specialist Conference on Guidance, Navigation …, 2019 | 6 | 2019 |
Erratum to: joseph covariance formula adaptation to square-root sigma-point Kalman filters F De Vivo, A Brandl, M Battipede, P Gili Nonlinear Dynamics 88 (3), 1987-1987, 2017 | 2 | 2017 |
Maneuver-Based Cross-Validation Approach for Angle-of-Attack Estimation A Brandl, M Battipede 14th WCCM-ECCOMAS Congress 2020 1700, 2021 | 1 | 2021 |
Effects of the Wind Field on the Synthetic Measurement of the Aerodynamic Angles of an Aerial Vehicle A Brandl, M Battipede 2020 IEEE 7th International Workshop on Metrology for AeroSpace …, 2020 | 1 | 2020 |
Sensitivity Analysis of a Certifiable Synthetic Sensor for Aerodynamic Angle Estimation A Brandl, G Coppa, P Gili 2020 IEEE 7th International Workshop on Metrology for AeroSpace …, 2020 | 1 | 2020 |
Techniques for effective virtual sensor development and implementation A Brandl | | |