A residual-aware distributionally robust EKF absorbs linearization mismatch into a stage-wise Wasserstein ambiguity set, yielding computable effective radius and deterministic upper bounds on nonlinear estimation errors with a tractable SDP reformulation.
High-order extended Kalman filter for state estimation of nonlinear systems
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
method 1
citation-polarity summary
fields
eess.SY 1years
2026 1verdicts
UNVERDICTED 1roles
method 1polarities
use method 1representative citing papers
citing papers explorer
-
Residual-Aware Distributionally Robust EKF: Absorbing Linearization Mismatch via Wasserstein Ambiguity
A residual-aware distributionally robust EKF absorbs linearization mismatch into a stage-wise Wasserstein ambiguity set, yielding computable effective radius and deterministic upper bounds on nonlinear estimation errors with a tractable SDP reformulation.