Data-Driven Reduced Order Models of Forced Systems Using Invariant Foliations

Data-Driven Reduced Order Models of Forced Systems Using Invariant Foliations

Explore a 24-minute lecture from the Fourth Symposium on Machine Learning and Dynamical Systems, delivered by Robert Szalai from the University of Bristol, focusing on data-driven reduced order models of forced systems using invariant foliations. Gain insights into advanced concepts in dynamical systems and machine learning applications as presented at the Fields Institute on July 9, 2024.