101 citations · 166 across the 9 of their papers we have counts for
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math.DS2022★ 2 cited
Learning Bilinear Models of Actuated Koopman Generators from Partially-Observed Trajectories
Samuel E. Otto, Sebastian Peitz, Clarence W. Rowley
Data-driven models for nonlinear dynamical systems based on approximating the underlying Koopman operator or generator have proven to be successful tools for forecasting, feature l…
eess.SY2022★ 3 cited
Model Reduction for Nonlinear Systems by Balanced Truncation of State and Gradient Covariance
Samuel E. Otto, Alberto Padovan, Clarence W. Rowley
Data-driven reduced-order models often fail to make accurate forecasts of high-dimensional nonlinear dynamical systems that are sensitive along coordinates with low-variance becaus…