Explore cutting-edge research on uncovering the dynamics and parameters of nonlinear systems using limited observational data in this 23-minute conference talk by George Stepaniants from the Massachusetts Institute of Technology. Delivered as part of the Fourth Symposium on Machine Learning and Dynamical Systems at the Fields Institute, gain insights into innovative approaches for analyzing complex systems with incomplete information. Delve into the intersection of machine learning and dynamical systems, and discover how these techniques can be applied to real-world problems across various scientific disciplines.
Discovering Dynamics and Parameters of Nonlinear Systems from Partial Observations
Overview
Syllabus
Discovering dynamics and parameters of nonlinear systems from partial observations
Taught by
Fields Institute
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