Identification of nonlinear dynamical system using hierarchical clustering analysis and local linear models

This paper discusses the use of unsupervised learning and localized modeling to identify nonlinear dynamical systems from empirical series data. A finite-order nonlinear autoregressive (AR) model is constructed to capture the system dynamics. The embedded input space for the nonlinear AR model is pa... View More