Spatially Aware Dictionary-Free Eigenfunction Identification for Modeling and Control of Nonlinear Dynamical Systems
This episode discusses a paper detailing a self-correcting framework for identifying complex dynamic systems. The methodology uses a reference trajectory to map hidden rules by transforming nonlinear state spaces into predictable, linear evolution. The goal is to achieve structural understanding of physical laws rather than merely predicting data points.