Machine Learning-Based Nonlinear Nudging for Chaotic Dynamical Systems
Jaemin Oh, Jinsil Lee, Youngjoon Hong
cs.LG, cs.NA, math.NA
Submitted: 2026-08-17
Updated: 2026-08-19
Comments: 24 pages, 6 figures, 5 tables
Code: https://github.com/ax-ml/jax
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Efficient and Modular Implicit Differentiation
- A guide to convolution arithmetic for deep learning
- Equinox: neural networks in JAX via callable PyTrees and filtered transformations
- DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators
- KKL Observer Synthesis for Nonlinear Systems via Physics-Informed Learning
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