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Random Weighting, Strong Tracking, and Unscented Kalman Filter for Soft Tissue Characterization
This paper presents a new nonlinear filtering method based on the Hunt-Crossley model for online nonlinear soft tissue characterization. This method overcomes the problem of performance degradation in the unscented Kalman filter due to contact model error. It adopts the concept of Mahalanobis distan...
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| Publicado en: | Sensors (Basel) |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
MDPI
2018
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5981475/ https://ncbi.nlm.nih.gov/pubmed/29883430 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18051650 |
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