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Aircraft System Identification

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Aircraft Aerodynamic Parameter Estimation from Flight Data Using Neural Partial Differentiation

Part of the book series: SpringerBriefs in Applied Sciences and Technology ((BRIEFSAPPLSCIENCES))

Abstract

In a fairly complex system like aircraft, modeling and parameter estimation plays a crucial role in determining its stability and control characteristics.

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Authors and Affiliations

  1. Flight Mechanics and Control Division, CSIR-National Aerospace Laboratories, Bengaluru, Karnataka, India

    Majeed Mohamed

  2. WNS Global Services, Gurugram, India

    Vikalp Dongare

Authors
  1. Majeed Mohamed
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  2. Vikalp Dongare
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Correspondence to Majeed Mohamed .

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Mohamed, M., Dongare, V. (2021). Aircraft System Identification. In: Aircraft Aerodynamic Parameter Estimation from Flight Data Using Neural Partial Differentiation. SpringerBriefs in Applied Sciences and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-16-0104-0_1

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  • DOI: https://doi.org/10.1007/978-981-16-0104-0_1

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  • Online ISBN: 978-981-16-0104-0

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