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Shifting industrial process monitoring from brittle bespoke models to a pre-trained foundation model cuts soft-sensing error by up to 14.6% while guaranteeing calibrated uncertainty across seven years of operational drift.
Lyapunov rewards not only improve resilience against cyber threats but also maintain low tracking errors, outperforming other reward types in critical scenarios.