- Nguyen, N.T. and K. Krishnakumar, Hybrid intelligent flight control with adaptive learning parameter estimation. Journal of Aerospace Computing, Information, and Communication, Vol. 6, No.3, pp. 171-186, 2009.##
- DeBusk, W., E. Johnson, and G. Chowdhary. Real-time system identification of a small multi-engine aircraft. in AIAA Atmospheric Flight Mechanics Conference, 2009.##
- Birnbaum, Z., et al., Unmanned aerial vehicle security using recursive parameter estimation. Journal of Intelligent & Robotic Systems,
84, No. 1-4 pp. 107-120, 2016.##
- Hatamleh, K., O. Ma, and R. Paz. In-flight UAV model parameter identification: A simulation study. in AIAA Atmospheric flight mechanics conference. 2009.##
- Lee, R. and L. Shen, System identification of cessna 182 model uav. preprinted, 2005.##
- Zhe, L., Z. Yue-rong, and W. Gui-dong. Online parameter identification study on a small fixed-wing UAV. in IEEE Chinese Guidance, Navigation and Control Conference (CGNCC), 2016. IEEE.##
- Hoffer, N.V., et al. Small low-cost unmanned aerial vehicle System identification by Error Filtering Online Learning (EFOL) enhanced least squares method. in International Conference on Unmanned Aircraft Systems (ICUAS). 2015. IEEE.##
- Raptis, I.A., K.P. Valavanis, and W.A. Moreno, System identification and discrete nonlinear control of miniature helicopters using backstepping. Journal of Intelligent and Robotic Systems, Vol. 55, No. 2-3,
223-243, 2009.##
- Toha, S. and M. Tokhi, Parametric modelling application to a twin rotor system using recursive least squares, genetic, and swarm optimization techniques. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering,
224, No. 9, pp. 961-977. 2010##
- Kim, W.-J., J. LEE, and D. LEE. Application of recursive partially unknown system identification to aerodynamic coefficients estimation. in Astrodynamics Conference, 1992.##
- Grauer, J.A. Parameter uncertainty for aircraft aerodynamic modeling using recursive least squares. in AIAA atmospheric flight mechanics conference. 2016.##
- Basappa, K. and R. Jategaonkar. Evaluation of recursive methods for aircraft parameter estimation. in AIAA Atmospheric Flight Mechanics Conference and Exhibit. 2004.##
- Qadri, M.T., et al., Comparative analysis of LMS (Least Mean Square) and RLS (Recursive Least Square) for estimation of fighter plane's mathematical model. Journal of Information and Communication Technology, Vol. 10,
1, pp. 35-46, 2016.##
- Andrzejczak, V., Methods applied to aircraft identification. 2011.##
- Singh, S. and A. Ghosh. Parameter estimation from flight data of a missile using maximum likelihood and neural network method. in AIAA Atmospheric Flight Mechanics Conference and Exhibit, 2006.##
- Saderla, S., Y. Kim, and A. Ghosh, Online system identification of mini cropped delta UAVs using flight test methods. Aerospace Science and Technology, Vol. 80,
337-353, 2018.##
- Ma, L. and X. Liu, Recursive maximum likelihood method for the identification of Hammerstein ARMAX system. Applied Mathematical Modelling,. Vol. 40, No. 13-14,
6523-6535, 2016##
- Hu, C. and Q. Liu. Online identification for hypersonic vehicle using recursive maximum likelihood method based on interior-point algorithm. in 25th Chinese Control and Decision Conference (CCDC), 2013. IEEE.##
- Söderström, T. and P. Stoica, Instrumental variable methods for system identification. Circuits, Systems and Signal Processing,
21, No.1, pp. 1-9, 2002.##
- Cedervall, M. and P. Stoica, System identification from noisy measurements by using instrumental variables and subspace fitting. Circuits, Systems and Signal Processing, Vol. 15 , No. 2, pp. 275-290, 1996.##
- Chen, X. and H.-T. Fang, Recursive subspace method for wiener systems using instrumental variable techniques. IFAC Proceedings,
45, No. 16, pp. 1508-1513, 2012.##
- Friedlander, B., The overdetermined recursive instrumental variable method. IEEE Transactions on Automatic Control, Vol. 29 No.4, pp. 353-356, 1984.##
- HUFFEL, S.V. and J. Vandewalle, Comparison of total least squares and instrumental variable methods for parameter estimation of transfer function models. International journal of control,Vol. 50, No.4, 1039-1056, 1989.##
- Ma, L. and X. Liu, A nonlinear recursive instrumental variables identification method of Hammerstein ARMAX system. Nonlinear Dynamics,Vol. 79, No.2, pp. 1601-1613, 2015.##
- Strobach, P., Bi-iteration recursive instrumental variable subspace tracking and adaptive filtering. IEEE transactions on signal processing,Vol. 46, No.10 pp. 2708-2725,1998.##
- Young, P.C., An instrumental variable method for real-time identification of a noisy process. Automatica,Vol. 6, No.2, pp. 271-287,1970.##
- Young, P.C., Refined instrumental variable estimation: maximum likelihood optimization of a unified Box–Jenkins model. Automatica,. Vol. 52, pp. 35-46. 2015##
- Chen, H. Extended recursive least squares algorithm for nonlinear stochastic systems. in Proceedings of the American Control Conference. 2004. IEEE.##
- Hu, Y., et al., Recursive extended least squares parameter estimation for Wiener nonlinear systems with moving average noises. Circuits, Systems, and Signal Processing,Vol. 33, No.2, pp. 655-664. 2014##
- Raisinghani, S., A. Ghosh, and P. Kalra, Two new techniques for aircraft parameter estimation using neural networks. The aeronautical journal, Vol. 102, No. 1011, pp. 25-301998.##
- Ghazi, G., et al. Cessna citation X stall characteristics identification from flight data using neural networks. in AIAA Atmospheric Flight Mechanics Conference. 2017.##
- Ghosh, A. and S. Raisinghani, Frequency-domain estimation of parameters from flight data using neural networks. Journal of Guidance, Control, and Dynamics, Vol. 24, No.3, pp. 525-530, 2001.##
- Kumar, R., et al., Rotorcraft parameter identification from real time flight data. Journal of Aircraft,Vol. 45, No.1, pp. 333-341, 2008.##
- Raol, J. and R. Jategaonkar. Aircraft parameter estimation using recurrent neural networks-A critical appraisal. in 20th Atmospheric Flight Mechanics Conference. 1995.##
- Wallach, R., et al. Aerodynamic coefficient prediction of transport aircraft using neural network. in 44th AIAA Aerospace Sciences Meeting and Exhibit. 2006.##
- Muñoz, R.S.M., C. Rossi, and A.B. Cruz, Modelling and Identification of Flight Dynamics in Mini-Helicopters Using Neural Networks, in Aerial Vehicles. 2009, IntechOpen.##
- Kumar, M.V., et al., Identification of helicopter dynamics using recurrent neural networks and flight data. Journal of the American Helicopter Society,Vol. 51, No.2, pp. 164-174, 2006.##
- Suresh, S., et al. Neural networks based identification of helicopter dynamics using flight data. in Proceedings of the 9th International Conference on Neural Information Processing. 2002. IEEE.##
- Chen, W. and M. Saif, Adaptive actuator fault detection, isolation and accommodation in uncertain systems. International Journal of Control,Vol. 80, No.1, pp. 45-63, 2007.##
- Faris, H., I. Aljarah, and S. Mirjalili, Evolving radial basis function networks using moth–flame optimizer, in Handbook of Neural Computation., Elsevier. pp. 537-550, 2017.##
- karari, m., System identification. 1394, Tehran: Amir kabir university. (In persian).##
|