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PE-MHL: Physics-Encoded Modular Hybrid Layers for Scalable Learning of Complex Systems
Hybrid models that combine physics-based and data-driven components have shown strong potential for achieving accuracy and interpretability in control applications. While recent methods have made progress in incorporating physical consistency, challenges remain in scalability, robustness to noise, a
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