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math.DS2022
Online Real-time Learning of Dynamical Systems from Noisy Streaming Data: A Koopman Operator Approach
S. Sinha, Sai P. Nandanoori, David Barajas-Solano
Recent advancements in sensing and communication facilitate obtaining high-frequency real-time data from various physical systems like power networks, climate systems, biological n…
math.DS2021
Sparsifying Priors for Bayesian Uncertainty Quantification in Model Discovery
Seth M. Hirsh, David A. Barajas-Solano, J. Nathan Kutz
We propose a probabilistic model discovery method for identifying ordinary differential equations (ODEs) governing the dynamics of observed multivariate data. Our method is based o…