Learning Flow Functions from Data with Applications to Nonlinear Oscillators

Miguel Aguiar, Amritam Das, Karl H. Johansson

We describe a recurrent neural network (RNN) based architecture to learn the flow function of a causal, time-invariant and continuous-time control system from trajectory data. By r…