From: A physics-based neural network for flight dynamics modelling and simulation
FlyNet | Classical | p - value | |
---|---|---|---|
\(\dot{u}_0\) [ft\(s^{-2}\)] | 1.115 [0.151, 4.212] | 2.826 [0.759, 5.236] | 0.000 |
\(\dot{v}_0\) [ft\(s^{-2}\)] | 0.764 [0.067, 2.603] | 1.297 [0.158, 6.154] | 0.006 |
\(\dot{w}_0\) [ft\(s^{-2}\)] | 1.640 [0.348, 5.404] | 3.822 [0.376, 10.227] | 0.000 |
\(\dot{p}_0\) [rad\(s^{-2}\)] | 0.025 [0.003, 0.061] | 0.226 [0.024, 0.812] | 0.000 |
\(\dot{q}_0\) [rad\(s^{-2}\)] | 0.013 [0.003, 0.056] | 0.123 [0.008, 0.311] | 0.000 |
\(\dot{r}_0\) [rad\(s^{-2}\)] | 0.017 [0.002, 0.074] | 0.064 [0.006, 0.140] | 0.000 |