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State estimation and prediction using clustered particle filters
Particle filtering is an essential tool to improve uncertain model predictions by incorporating noisy observational data from complex systems including non-Gaussian features. A class of particle filters, clustered particle filters, is introduced for high-dimensional nonlinear systems, which uses rel...
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| Published in: | Proc Natl Acad Sci U S A |
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| Main Authors: | , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
National Academy of Sciences
2016
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5187727/ https://ncbi.nlm.nih.gov/pubmed/27930332 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1617398113 |
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