Identification of Aircraft Aerodynamic Coefficients: Sliding Window and Harmonic Signal Decomposition Approaches

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Bol This book introduces advanced methods for accurately identifying aircraft aerodynamic coefficients from flight data. It presents novel approaches, including a sliding window model and a harmonic signal decomposition algorithm, to overcome the noise and signal limitations inherent in traditional techniques. The results demonstrate significant improvements in estimation accuracy - by a factor of 3 to 7 in noisy conditions - enabling more reliable aircraft modeling for enhanced flight safety, simulator fidelity, and cost-effective monitoring.

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This book introduces advanced methods for accurately identifying aircraft aerodynamic coefficients from flight data. It presents novel approaches, including a sliding window model and a harmonic signal decomposition algorithm, to overcome the noise and signal limitations inherent in traditional techniques. The results demonstrate significant improvements in estimation accuracy - by a factor of 3 to 7 in noisy conditions - enabling more reliable aircraft modeling for enhanced flight safety, simulator fidelity, and cost-effective monitoring.

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Pagina's: 52, Paperback, LAP LAMBERT Academic Publishing


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Merk LAP LAMBERT Academic Publishing
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  • 9786630053869
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