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.
Robust state space filtering under incremental model pertur- bations subject to a relative entropy tolerance
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
eess.SY 1years
2026 1verdicts
UNVERDICTED 1roles
background 1polarities
background 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.