A Dynamic Mode Decomposition Approach to Parameter Identification
The algorithm uses a data-driven method called Discrete Control Liouville Dynamic Mode Decomposition (DCLDMD) to simultaneously identify unknown parameters and model nonlinear control systems. It trains a predictive model based on system trajectories and then uses this model to find the best parameter values by minimizing the error between predicted and actual system behavior.