Learning reduced-order dynamics with singularity via Latent-Augmented Neural Ordinary Differential Equations
Experimental results demonstrate that the proposed LA-NODEs framework can recover system features that are difficult to capture using conventional approaches and achieve superior performance in terms of prediction accuracy and modeling fidelity, thereby providing an effective approach for high-precision data-driven mod...