A hybrid estimation framework combines simplified reference dynamics with a data-driven surrogate sensor model to reconstruct system states from incomplete measurements.
On the Predictive Ca- pability of Dynamic Mode Decomposition for Nonlinear Periodic Systems with Focus on Orbital Me- chanics
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State Forecasting in an Estimation Framework with Surrogate Sensor Modeling
A hybrid estimation framework combines simplified reference dynamics with a data-driven surrogate sensor model to reconstruct system states from incomplete measurements.