Critical Evaluation of Extended Kalman Filtering and Moving-Horizon Estimation¶
Haseltine, E. J., & Rawlings. Critical Evaluation of Extended Kalman Filtering and Moving-Horizon Estimation.
Cited by¶
1 citation across 1 artifact.
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Domain-specific¶
- Moving horizon estimation
- … demonstrates that the dynamic and measurement models, horizon length, arrival cost, noise or loss model, constraints, solver, update timing, and observability assumptions are declared. to An applied instance preserves the same invariant under a changed scale, notation, jurisdiction, dataset, or implementation..
This sourceChem. Res, 2005, doi:10.1021/ie034308l.
- … demonstrates that the dynamic and measurement models, horizon length, arrival cost, noise or loss model, constraints, solver, update timing, and observability assumptions are declared. to An applied instance preserves the same invariant under a changed scale, notation, jurisdiction, dataset, or implementation..
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Registry ID ref:1fffc6a6a1c7 · see in the full table