Cargando…
Strategic Use of Data Assimilation for Dynamic Data-Driven Simulation
Dynamic data-driven simulation (DDDS) incorporates real-time measurement data to improve simulation models during model run-time. Data assimilation (DA) methods aim to best approximate model states with imperfect measurements, where particle Filters (PFs) are commonly used with discrete-event simula...
Autores principales: | Cho, Yubin, Huang, Yilin, Verbraeck, Alexander |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7304738/ http://dx.doi.org/10.1007/978-3-030-50433-5_3 |
Ejemplares similares
-
Decision Support Modeling: Data Assimilation, Uncertainty Quantification, and Strategic Abstraction
por: Doherty, John, et al.
Publicado: (2019) -
A climate-driven and field data-assimilated population dynamics model of sand flies
por: Erguler, Kamil, et al.
Publicado: (2019) -
Dynamic meteorology data assimilation methods
por: Bengtsson, Lennart, et al.
Publicado: (1981) -
Predicting Flow Reversals in a Computational Fluid Dynamics Simulated Thermosyphon Using Data Assimilation
por: Reagan, Andrew J., et al.
Publicado: (2016) -
Forecast error correction using dynamic data assimilation
por: Lakshmivarahan, Sivaramakrishnan, et al.
Publicado: (2016)