Global Aerodynamic Modeling Using Automated Local Model Networks in Real Time

[1]  Eugene A. Morelli,et al.  Real-Time Onboard Global Nonlinear Aerodynamic Modeling from Flight Data , 2014 .

[2]  Michael Cunningham,et al.  Fuzzy Modeling and Parallel Distributed Compensation for Aircraft Flight Control from Simulated Flight Data , 2018 .

[3]  John V. Foster.  Autonomous Guidance Algorithms for NASA Learn-to-Fly Technology Development , 2018 .

[4]  Robert Shorten,et al.  Side effects of Normalising Radial Basis Function Networks , 1996, Int. J. Neural Syst..

[5]  Eugene A. Morelli.  Real-Time Global Nonlinear Aerodynamic Modeling for Learn-To-Fly , 2016 .

[6]  R. V. Jategaonkar,et al.  Identification of C-160 Simulator Data Base from Flight Data , 1994 .

[7]  O. Nelles,et al.  Basis function networks for interpolation of local linear models , 1996, Proceedings of 35th IEEE Conference on Decision and Control.

[8]  Susan A. Frost,et al.  Online Control Design for Learn-to-Fly , 2018, 2018 Atmospheric Flight Mechanics Conference.

[9]  Jared A. Grauer.  A Learn-to-Fly Approach for Adaptively Tuning Flight Control Systems , 2018, 2018 Atmospheric Flight Mechanics Conference.

[10]  Jan Albert Mulder,et al.  A Multidimensional Spline Based Global Nonlinear Aerodynamic Model for the Cessna Citation II , 2010 .

[11]  Mark A. Croom,et al.  NASA's Learn-to-Fly Project Overview , 2018 .

[12]  Eugene A. Morelli.  Practical Aspects of Real-Time Modeling for the Learn-To-Fly Concept , 2018 .

[13]  David E. Cox,et al.  Learn to Fly Test Setup and Concept of Operations , 2018, 2018 Atmospheric Flight Mechanics Conference.

[14]  Susanne Seher-Weiss,et al.  Identification of nonlinear aerodynamic derivatives using classical and extended local model networks , 2011 .

[15]  Eugene A. Morelli,et al.  Generic Global Aerodynamic Model for Aircraft , 2015 .

[16]  Robert F. Stengel,et al.  Identification of aerodynamic coefficients using computational neural networks , 1993 .

[17]  Rolf Isermann,et al.  Local Linear Model Trees (LOLIMOT) Toolbox for Nonlinear System Identification , 2000 .

[18]  Eugene A. Morelli,et al.  Efficient Global Aerodynamic Modeling from Flight Data , 2012 .

[19]  P. Sagaut,et al.  Surrogate Modeling of Aerodynamic Simulations for Multiple Operating Conditions Using Machine Learning , 2018, AIAA Journal.

[20]  Vladislav Klein,et al.  Partitioning of flight data for aerodynamic modeling of aircraft at high angles of attack , 1989 .

[21]  Jan Albert Mulder,et al.  Global Aerodynamic Modeling with Multivariate Splines , 2008 .