A parametric data-driven model built with p-AAA reduces relative force estimation error by nearly 38% versus the best non-parametric model while generalizing across load amplitudes and input waveforms.
Input Force Estimation Using an Inverse Structural Filter,
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Load Identification in Bistable Spacecraft Booms via Parametric Data-Driven Modeling
A parametric data-driven model built with p-AAA reduces relative force estimation error by nearly 38% versus the best non-parametric model while generalizing across load amplitudes and input waveforms.