From: A physics-based neural network for flight dynamics modelling and simulation
FlyNet | Classical | p -value | |
---|---|---|---|
u [ft\(s^{-1}\)] | 2.038 [0.468, 6.082] | 3.171 [0.780, 15.539] | 0.081 |
w [ft\(s^{-1}\)] | 1.765 [0.657, 6.394] | 1.728 [0.507, 6.174] | 0.207 |
q [rad\(s^{-1}\)] | 0.015 [0.006, 0.043] | 0.018 [0.005, 0.071] | 0.020 |
\(\theta \) [rad] | 0.028 [0.007, 0.096] | 0.042 [0.009, 0.225] | 0.022 |
v [ft\(s^{-1}\)] | 2.698 [0.824, 6.879] | 3.508 [1.129, 14.636] | 0.016 |
p [rad\(s^{-1}\)] | 0.030 [0.010, 0.078] | 0.037 [0.015, 0.207] | 0.065 |
r [rad\(s^{-1}\)] | 0.026 [0.008, 0.076] | 0.032 [0.010, 0.110] | 0.014 |
\(\phi \) [rad] | 0.050 [0.013, 0.164] | 0.072[0.021, 0.295] | 0.071 |