Aircraft aerodynamic parameter estimation from flight data using neural partial differentiation

Aircraft aerodynamic parameter estimation from flight data using neural partial differentiation / Majeed Mohamed, Vikalp Dongare.

This book presents neural partial differentiation as an estimation algorithm for extracting aerodynamic derivatives from flight data. It discusses neural modeling of the aircraft system. The neural partial differentiation approach discussed in the book helps estimate parameters with their statistica...

Full description

Saved in:
Bibliographic Details
Main Authors: Mohamed, Majeed (Author), Dongare, Vikalp (Author)
Format: Electronic eBook
Language:English
Published: Singapore : Springer, [2021]
Series:SpringerBriefs in applied sciences and technology.
Subjects:
Aerodynamics > Mathematical models.
Aerodynamics > Mathematical models
Online Access:Click for online access
Table of Contents:
  • Aircraft System Identification
  • Neural Modeling and Parameter Estimation
  • Identification of Aircraft Longitudinal Derivatives
  • Identification of Aircraft Lateral-directional Derivatives
  • Identification of a Flexible Aircraft Derivatives
  • Conclusions and Future Work
  • Appendix A: Neural Network Based Solution of Ordinary Differential Equation
  • Appendix B: Output Error Method.

Similar Items