Mohamed, Majeed and Dongare, V (2021) Identification of Aircraft Longitudinal Derivatives. In: Aircraft Aerodynamic Parameter Estimation from Flight Data Using Neural Partial Differentiation. SpringerBriefs in Applied Sciences and Technology . Springer, Singapore, pp. 21-31. ISBN 978-981-16-0104-0
Full text not available from this repository.Abstract
This chapter focuses on the application of neural networks to the problem of aircraft aerodynamic modeling and parameter estimation. The neural modeling and neural partial differentiation (NPD) method, which are presented in Chap. 2, are directly applied here to estimate the longitudinal dynamics of an aircraft system. Since the model of an aircraft system is established through the neural network, extends the use of NPD to multi-input and multi-output (MIMO) system ensures online estimation of each aircraft aerodynamics derivatives.
| Item Type: | Book Section |
|---|---|
| Uncontrolled Keywords: | Neural networks, Parameter estimation, Aerodynamic modeling, Neural partial differentiation (NPD) method |
| Subjects: | AERONAUTICS > Aeronautics (General) AERONAUTICS > Avionics & Aircraft Instrumentation ENGINEERING > Engineering (General) |
| Depositing User: | Smt Bhagya Rekha KA |
| Date Deposited: | 04 Nov 2022 13:26 |
| Last Modified: | 04 Nov 2022 13:26 |
| URI: | http://nal-ir.nal.res.in/id/eprint/13734 |
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