A projection-based constrained estimation method enforces that an APBM's transition function stays within an epsilon-neighborhood of a physics-based model, enabling interpretable control of neural augmentation in tracking.
A survey on state estimation techniques and challenges in smart distribution systems,
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Interpretable Augmented Physics-Based Model for Estimation and Tracking
A projection-based constrained estimation method enforces that an APBM's transition function stays within an epsilon-neighborhood of a physics-based model, enabling interpretable control of neural augmentation in tracking.