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...

Descripción completa

Detalles Bibliográficos
Autores principales: Shin, Jaehyun, Zhong, Yongmin, Oetomo, Denny, Gu, Chengfan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5981475/
https://www.ncbi.nlm.nih.gov/pubmed/29883430
http://dx.doi.org/10.3390/s18051650

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5981475/
https://www.ncbi.nlm.nih.gov/pubmed/29883430
http://dx.doi.org/10.3390/s18051650

Ejemplares similares