xFODE uses incremental states and fuzzy additive models trained with partitioning strategies to deliver accurate yet interpretable nonlinear dynamic models that match NODE and FODE performance on benchmarks.
Hybrid gray and black-box nonlinear system identification of an elastomer joint flexible robotic manipulator
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xFODE: An Explainable Fuzzy Additive ODE Framework for System Identification
xFODE uses incremental states and fuzzy additive models trained with partitioning strategies to deliver accurate yet interpretable nonlinear dynamic models that match NODE and FODE performance on benchmarks.