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…