1. Agard 1991 Rotorcraft system identification Advisory Group for Aerospace Research & Development
2. System identification via artificial neural networks - applications to on-line aircraft parameter estimation;Amin;SAE Transactions,1997
3. Failure-rate prediction for De Havilland Dash-8 tires employing neural network technique;Al-Garni;Journal of Aircraft,2006
4. Baraldi A Blonda P Satalino G D'Addabbo A Tarantino C 2000 RBF two stage learning networks exploiting supervised data in the selection of hidden unit parameters; an application to SAR data classification Proceedings in IGARSS Honolulu, HI 672 674
5. Aerodynamic parameter estimation from flight data applying extended and unscented Kalman filter;Chowdhary;Aerospace Science and Technology,2010