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http://dx.doi.org/10.5139/JKSAS.2007.35.10.912

System Identification of a Small Unmanned Air Vehicle Using Neural Networks  

Song, Yong-Kyu (한국항공대학교 항공우주 및 기계공학부)
Jeon, Byung-Ho (한국항공대학교 항공우주 및 기계공학부 대학원)
Publication Information
Journal of the Korean Society for Aeronautical & Space Sciences / v.35, no.10, 2007 , pp. 912-917 More about this Journal
Abstract
In this paper system identification of a small UAV via neural networks is tried and the estimated parameters are then compared to those obtained by Fourier Transform Regression and Maximum Likelihood Estimation Techniques. With the estimated parameters a linear system is constructed and simulated to compare to the flight data. The results show that parameter identification using neural networks is comparable to the existing techniques
Keywords
System Identification; UAV; Neural Networks;
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