A hybrid estimation framework combines simplified reference dynamics with a data-driven surrogate sensor model to reconstruct system states from incomplete measurements.
An iterative scheme to learn system dynamics of space objects from partial state information
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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.