The first two tools are very similar. They use engineering relationships established through physics and solve those relationships through approximate or closed-form techniques. The third method is purely based on data.
1&2 use engineering relationships established through physics and solve those relationships through numerical or closed-form techniques. 3 is purely based on data.
Many years back I was looking for good algorithms for an online estimation of the parameters of a parallel robot mainly for self-calibration. I applied traditional nonlinear Optimization after modelling higher-degree nonlinearities as noises.
Today AI seems to be everywhere and is trying to automate almost everything we use or interact with daily. But somehow the large-scale industrial systems seem to adapt to the application of AI slower than expected.
