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.
Robust Bayesian state and parameter estimation framework for stochastic dynamical systems with combined time- varying and time-invariant parameters
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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.