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An Intelligent Cost-Reference Particle Filter with Resampling of Multi-Population Cooperation
Although the cost-reference particle filter (CRPF) has a good advantage in solving the state estimation problem with unknown noise statistical characteristics, its estimation accuracy is still affected by the lack of particle diversity and sensitivity to the particles’ initial value. In order to sol...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10383641/ https://www.ncbi.nlm.nih.gov/pubmed/37514896 http://dx.doi.org/10.3390/s23146603 |