Adaptive neurocontroller for a nonlinear combat aircraft model PA Gili, M Battipede Journal of Guidance, Control, and Dynamics 24 (5), 910-917, 2001 | 23 | 2001 |
Infra-red line camera data-driven edge detector in UAV forest fire monitoring F De Vivo, M Battipede, E Johnson Aerospace Science and Technology 111, 106574, 2021 | 22 | 2021 |
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 | 22 | 2017 |
Peculiar performance of a new lighter-than-air platform for monitoring M Battipede, M Lando, P Gili, P Vercesi AIAA 4th Aviation Technology, Integration and Operations (ATIO) Forum, 6448, 2004 | 22 | 2004 |
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 | 21 | 2017 |
Comparison of adaptive control architectures for flutter suppression M Cassaro, M Battipede, P Marzocca, A Behal Journal of Guidance, Control, and Dynamics 38 (2), 346-355, 2015 | 21 | 2015 |
Model based analysis of precursors of electromechanical servomechanism failures M Battipede, MD Dalla Vedova, P Maggiore, S Romeo AIAA Modeling and Simulation Technologies Conference, 2035, 2015 | 21 | 2015 |
Performances of a small hypersonic airplane (HyPlane) R Savino, G Russo, V D’Oriano, M Visone, M Battipede, P Gili Acta Astronautica 115, 338-348, 2015 | 20 | 2015 |
Control allocation system for an innovative remotely-piloted airship M Battipede, P Gili, M Lando AIAA atmospheric flight mechanics conference and exhibit, 4823, 2004 | 20 | 2004 |
Dual hull airship controlled by thrust vectoring P Gili, U Icardi, R Ruotolo, M Battipede, P Vercesi US Patent 7,350,746, 2008 | 19 | 2008 |
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 |
Advantages of neural network based air data estimation for unmanned aerial vehicles A Lerro, M Battipede, P Gili, A Brandl International Journal of Aerospace and Mechanical Engineering 11 (5), 1090-1099, 2017 | 18 | 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 | 17 | 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 |
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 | 16 | 2018 |
Mathematical modelling of an innovative unmanned airship for its control law design M Battipede, M Lando, P Gili Systems, Control, Modeling and Optimization: Proceedings of the 22nd IFIP …, 2006 | 16 | 2006 |
Ground station and flight simulator for a remotely-piloted non conventional airship M Battipede, P Gili, M Lando AIAA guidance, navigation, and control conference and exhibit, 6201, 2005 | 16 | 2005 |
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 | 15 | 2013 |
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 | 15 | 2012 |
Damage detection of plate-like structures M Battipede, R Ruotolo, C Surace Key Engineering Materials 204, 27-34, 2001 | 15 | 2001 |