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Hi,
I'm trying to model inverse pendulum. The model can be linearized, but I need to approximate the nonlinear model. Eventually I would like to approximate the real object itself and prove that neural model is better than analitical one.
I experimented with approximation of linear models (2nd, 3rd, 4th order) with good success. When I try ro approximate the nonlinear model of the pendulum I never get anywhere near good results. Even with much bigger NN.
my approach: given any initial state NN predicts new state after 0.05s. The new state is then used as new initial state.
Thanks alot
kgf
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