Having studied more or less in detail the mechanisms of working with the state-space that Mathematica provides us with, I asked myself: can these tools be applied to neural networks? This article helped formulate the problem:
There, in paragraph 3.2. on page 8, it shows what a neural network would look like in a state-space.
It is natural to assume that this will be a discrete state-space with the corresponding matrices A, B, C, D. But, how they should be formed, it is not clear ...
Thus, we need to connect all the elements into one system ("SystemModelMerge"?) maybe, get the state-space and convert from discrete to continuous form. I want to know what more experienced Mathematica users think and experiment with it.