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📄 ResearchJuly 7, 2026

Neural-ESO: A Dual-Pathway Architecture for Provably Robust Learning-Based Control

A learning-enabled disturbance-rejection framework based on a Neural Extended State Observer (Neural-ESO) is presented in this letter. Unlike existing learning-based control methods that largely rely on the learned model once deployed, Neural-ESO adopts a dual-pathway architecture: a predictive path...

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Source

http://arxiv.org/abs/2607.06535v1