| Bayesian sensitivity analysis of a nonlinear finite element model W Becker, JE Oakley, C Surace, P Gili, J Rowson, K Worden Mechanical Systems and Signal Processing 32, 18-31, 2012 | 52 | 2012 |
| 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 |
| 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 |
| 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 |
| A variable twist blade concept for more effective wind generation: design and realization P Gili, G Frulla Smart Science 4 (2), 78-86, 2016 | 17 | 2016 |
| 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 |
| An unmanned lighter-than-air platform for large scale land monitoring P Gili, M Civera, R Roy, C Surace Remote Sensing 13 (13), 2523, 2021 | 14 | 2021 |
| 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 | 14 | 2020 |
