Dynamical systems identification from time-series data: A hankel matrix approach

In this paper, we propose a simple but effective method for dynamical systems identification using time-series data. The method works perfectly well for deterministic dynamical systems and works reasonably well for a general class of stochastic dynamical systems. Both computer simulation studies and theoretical analysis are provided to validate the proposed methods.