References
Murphy P C, Klein V, Frink N T. Nonlinear unsteady aerodynamic modeling using wind-tunnel and computational data. J Aircraft, 2017, 54: 659–683
Murphy P C, Vicroy D D, Kramer B, et al. Hybrid wing body model identification using forced-oscillation water tunnel data. In: Proceedings of AIAA Atmospheric Flight Mechanics Conference, Atlanta, 2014
Luchtenburg D M, Rowley C W, Lohry M W, et al. Unsteady high-angle-of-attack aerodynamic models of a generic jet transport. J Aircraft, 2015, 52: 890–895
Hu S, Zhu J H. Longitudinal high incidence unsteady aerodynamic modeling for advanced combat aircraft configuration from wind tunnel data. Sci China Inf Sci, 2017, 60: 118201
Abramov N, Goman M, Khrabrov A. Aircraft dynamics at high incidence flight with account of unsteady aerodynamic effects. In: Proceedings of AIAA Atmospheric Flight Mechanics Conference and Exhibit, Providence, 2004
Ignatyev D I, Khrabrov A N. Neural network modeling of unsteady aerodynamic characteristics at high angles of attack. Aerosp Sci Tech, 2015, 41: 106–115
Wang Q, Qian W Q, He K F. Unsteady aerodynamic modeling at high angles of attack using support vector machines. Chin J Aeronaut, 2015, 28: 659–668
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Hu, S., Zhu, J. & Yang, W. Progressive identification of lateral nonlinear unsteady aerodynamics from wind tunnel test data. Sci. China Inf. Sci. 62, 209201 (2019). https://doi.org/10.1007/s11432-017-9458-9
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DOI: https://doi.org/10.1007/s11432-017-9458-9