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Set-Membership Based Hybrid Kalman Filter for Nonlinear State Estimation under Systematic Uncertainty
This paper presents a new set-membership based hybrid Kalman filter (SM-HKF) by combining the Kalman filtering (KF) framework with the set-membership concept for nonlinear state estimation under systematic uncertainty consisted of both stochastic error and unknown but bounded (UBB) error. Upon the l...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038318/ https://www.ncbi.nlm.nih.gov/pubmed/31979194 http://dx.doi.org/10.3390/s20030627 |