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Globally Optimal Distributed Kalman Filtering for Multisensor Systems with Unknown Inputs
In this paper, the state estimation for dynamic system with unknown inputs modeled as an autoregressive AR (1) process is considered. We propose an optimal algorithm in mean square error sense by using difference method to eliminate the unknown inputs. Moreover, we consider the state estimation for...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6165186/ https://www.ncbi.nlm.nih.gov/pubmed/30200637 http://dx.doi.org/10.3390/s18092976 |