DTIC ADA244711: Identification of Aerodynamic Coefficients Using pdf

DTIC ADA244711: Identification of Aerodynamic Coefficients Using_bookcover

DTIC ADA244711: Identification of Aerodynamic Coefficients Using

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Precise, smooth aerodynamic models are required for implementing adaptive, nonlinear control strategies. Accurate representations of aerodynamic coefficients can be generated for the complete flight envelope by combining computational neural network models with an Estimation-Before-Modeling paradigm for on-line training information. A novel method of incorporating first-partial-derivative information is employed to estimate the weights in individual feedforward neural networks for each aerodynamic coefficient. The method is demonstrated by generating a model of the normal force coefficient of a twin-jet transport aircraft from simulated flight data, and promising results are obtained

  • Creator/s: Defense Technical Information Center
  • Date: 1/9/1992
  • Year: 1992
  • Book Topics/Themes: DTIC Archive, Linse, Dennis J, PRINCETON UNIV NJ DEPT OF MECHANICAL AND AEROSPACE ENGINEERING, *MATHEMATICAL MODELS, NEURAL NETS, COMPUTATIONS, STRATEGY, MODELS, TRAINING, ACCURACY, IDENTIFICATION, NONLINEAR SYSTEMS, COEFFICIENTS, PRECISION, AERODYNAMIC CHARACTERISTICS, ADAPTIVE SYSTEMS, FLIGHT ENVELOPE, ONLINE SYSTEMS, FLIGHT SIMULATION, FORCE(MECHANICS), AERODYNAMICS, CONTROL

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