A DMD-based method trains a predictive model on known-parameter data to estimate unknown parameters in control-affine nonlinear systems, with accurate recovery shown on the controlled Duffing oscillator.
Physics-informed neural networks: a deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
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A Dynamic Mode Decomposition Approach to Parameter Identification
A DMD-based method trains a predictive model on known-parameter data to estimate unknown parameters in control-affine nonlinear systems, with accurate recovery shown on the controlled Duffing oscillator.