“…Although system identification has been used since late 1960s to identify aircraft models in the normal flight regime, its application to identify spin models is relatively recent (Klein and Morelli, 2016). Several modeling approaches, including neural networks (Cho and Nagati, 1995), local model networks (Dias, 2013), locally weighted regression (Bunge and Kroo, 2018) and empirical mode decomposition (Mokhtari and Sabzehparvar, 2019) have been used to identify aircraft spin models. As the flight data is collected from the actual spinning aircraft, there are no scale errors pertaining to dynamic similitude requirements.…”