A Signature-Based Approach to System Identification and Prediction of Controlled Dynamical Systems
This report introduces a novel signature-based method for system identification that is interpretable, expressive, and computationally simpler than common black-box models, demonstrating its potential for controlling nonlinear dynamical systems.