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Dynamic Mode Decomposition With Gaussian Process Regression for Control of High-Dimensional Nonlinear Systems
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In this work, we consider the problem of learning a reduced-order model of a high-dimensional stochastic nonlinear system with control inputs from noisy data. In particular, we develop a hybrid parametric/nonparametric ...