Two training strategies, data-reset MPC windows and a Floquet-regularized periodic encoding, convert short-horizon accuracy of semi-autonomous neural ODEs into long-horizon guarantees, linear in elapsed periods for stable limit cycles.
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Long-Time Trajectory Approximation via SA-NODEs: Model Predictive and Floquet Strategies
Two training strategies, data-reset MPC windows and a Floquet-regularized periodic encoding, convert short-horizon accuracy of semi-autonomous neural ODEs into long-horizon guarantees, linear in elapsed periods for stable limit cycles.