Matching invariant measures in time-delay coordinates can uniquely identify dynamical systems from noisy, slowly-sampled data, with proof and numerical demonstrations.
Data-driven modeling and learning in science and engineering
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Invariant Measures for Data-Driven Dynamical System Identification: Analysis and Application
Matching invariant measures in time-delay coordinates can uniquely identify dynamical systems from noisy, slowly-sampled data, with proof and numerical demonstrations.