Iterative Truncated Unscented Particle Filter
The particle filter method is a basic tool for inference on nonlinear partially observed Markov process models. Recently, it has been applied to solve constrained nonlinear filtering problems. Incorporating constraints could improve the state estimation performance compared to unconstrained state es...
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| Päätekijät: | , , , |
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| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
MDPI AG
2020-04-01
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| Sarja: | Information |
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| Linkit: | https://www.mdpi.com/2078-2489/11/4/214 |
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