Double hybrid Kalman filtering for state estimation of dynamical systems
In this paper authors present a new approaches to the hybrid Kalman filtering and modified hybrid Kalman filtering, with the changed order of methods inside (Unscented Kalman Filter and Extended Kalman Filter). For these algorithms, the modification based on double use of Hybrid Kalman Filters (Exce...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2019-01-01
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| Series: | ITM Web of Conferences |
| Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2019/05/itmconf_zkwe2019_01051.pdf |
| _version_ | 1818918977517125632 |
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| author | Michalski Jacek Kozierski Piotr Zietkiewicz Joanna |
| author_facet | Michalski Jacek Kozierski Piotr Zietkiewicz Joanna |
| author_sort | Michalski Jacek |
| collection | DOAJ |
| description | In this paper authors present a new approaches to the hybrid Kalman filtering and modified hybrid Kalman filtering, with the changed order of methods inside (Unscented Kalman Filter and Extended Kalman Filter). For these algorithms, the modification based on double use of Hybrid Kalman Filters (Excented and Unscented) has been proposed. This new modification has been checked for Hybrid Kalman Particle Filters too, for the variable number of particles. Based on the obtained results, one can see that duplication of hybrid filters can improve the estimation quality. |
| first_indexed | 2024-12-20T00:58:32Z |
| format | Article |
| id | doaj.art-690b665388654397b82107d07d4064ec |
| institution | Directory Open Access Journal |
| issn | 2271-2097 |
| language | English |
| last_indexed | 2024-12-20T00:58:32Z |
| publishDate | 2019-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | ITM Web of Conferences |
| spelling | doaj.art-690b665388654397b82107d07d4064ec2022-12-21T19:59:02ZengEDP SciencesITM Web of Conferences2271-20972019-01-01280105110.1051/itmconf/20192801051itmconf_zkwe2019_01051Double hybrid Kalman filtering for state estimation of dynamical systemsMichalski JacekKozierski PiotrZietkiewicz JoannaIn this paper authors present a new approaches to the hybrid Kalman filtering and modified hybrid Kalman filtering, with the changed order of methods inside (Unscented Kalman Filter and Extended Kalman Filter). For these algorithms, the modification based on double use of Hybrid Kalman Filters (Excented and Unscented) has been proposed. This new modification has been checked for Hybrid Kalman Particle Filters too, for the variable number of particles. Based on the obtained results, one can see that duplication of hybrid filters can improve the estimation quality.https://www.itm-conferences.org/articles/itmconf/pdf/2019/05/itmconf_zkwe2019_01051.pdf |
| spellingShingle | Michalski Jacek Kozierski Piotr Zietkiewicz Joanna Double hybrid Kalman filtering for state estimation of dynamical systems ITM Web of Conferences |
| title | Double hybrid Kalman filtering for state estimation of dynamical systems |
| title_full | Double hybrid Kalman filtering for state estimation of dynamical systems |
| title_fullStr | Double hybrid Kalman filtering for state estimation of dynamical systems |
| title_full_unstemmed | Double hybrid Kalman filtering for state estimation of dynamical systems |
| title_short | Double hybrid Kalman filtering for state estimation of dynamical systems |
| title_sort | double hybrid kalman filtering for state estimation of dynamical systems |
| url | https://www.itm-conferences.org/articles/itmconf/pdf/2019/05/itmconf_zkwe2019_01051.pdf |
| work_keys_str_mv | AT michalskijacek doublehybridkalmanfilteringforstateestimationofdynamicalsystems AT kozierskipiotr doublehybridkalmanfilteringforstateestimationofdynamicalsystems AT zietkiewiczjoanna doublehybridkalmanfilteringforstateestimationofdynamicalsystems |