Additive Nonparametric Reconstruction of Dynamical Systems from Time   Series
  We present a nonparametric way to retrieve a system of differential equations in embedding space from a single time series. These equations can be treated with dynamical systems theory and allow for long term predictions. We demonstrate the potential of our approach for a modified chaotic Chua oscillator. 
Markus Abel, Karsten Ahnert, Juergen Kurths and Simon Mandelj