Andrew L. Ferguson

Data-driven reconstruction of dynamical systems using Takens'Theorem, manifold learning, and universal function approximators

An algorithmic framework, TAkens Reconstruction (TAR), to analyze and reconstruct arbitrary dynamical systems from low-dimensional time series using an integration of Takens'Delay Embedding Theorem, manifold learning techniques, and universal function approximators is developed.