Aircraft Aerodynamic Parameter Estimation from Flight Data Using Neural Partial Differentiation
Springer Verlag, Singapore
978-981-16-0103-3 (ISBN)
Majeed Mohamed did his degree in Instrumentation and Control Engineering and M.Tech. in Control Systems from IIT Delhi in 2002 and completed his Ph.D. in Flight Dynamics and Control from IIT Delhi in 2012. He is presently working as Principal Scientist in Flight Mechanics and Control Division at National Aerospace Laboratories (NAL) Bangalore and has worked with CSIR for 21 years. Dr. Majeed is the recipient of a research fellowship award from Nanyang Technological University (NTU), Singapore, for his postdoctoral work in 2016 at the Air Traffic Management Research Institute (ATMRI), Singapore. He has authored the book ‘Aircraft System Identification and Control’ in 2013. Dr. Majeed has published 17 international journal papers and 20 international papers in IFAC and IEEE conferences. He has guided over ten M.Tech. students of flight dynamics and control. He is also Associate Professor of the Academy of Scientific and Innovative Research (AcSIR), New Delhi, India. Vikalp Dongare did his degree in Avionics System and Engineering in 2012 from Aeronautical Society of India, New Delhi, and M.Tech. in Aeronautical Engineering from Visvesvaraya Technological University, Bangalore, in 2015. He has completed an internship of one year from CSIR-National Aerospace Laboratories Bangalore and has several journal and conference proceedings publications. He is a life member of the Aeronautical Society of India. Vikalp is presently working as a Data Scientist in a multinational corporation to build advanced analytical models for aviation and healthcare businesses. He has experience in making big data analytics and machine learning models.
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.
Erscheinungsdatum | 26.02.2021 |
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Reihe/Serie | SpringerBriefs in Applied Sciences and Technology |
Zusatzinfo | 32 Illustrations, color; XI, 66 p. 32 illus. in color. |
Verlagsort | Singapore |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Mathematik / Informatik ► Mathematik ► Angewandte Mathematik |
Technik ► Fahrzeugbau / Schiffbau | |
Technik ► Luft- / Raumfahrttechnik | |
Schlagworte | Aircraft Modeling • Aircraft Parameter Estimation • aircraft stability and control • neural modeling • Neural Partial Differentiation • System Identification |
ISBN-10 | 981-16-0103-8 / 9811601038 |
ISBN-13 | 978-981-16-0103-3 / 9789811601033 |
Zustand | Neuware |
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