Application of Kalman filter
Kalman filter is a useful tool in every field.It can be estimate the present, past and the future of a state that is given, for example a trajectory problem , and a dynamic state of car accelerator. It also uses as stochastic control and minimizes the error that produces by the data taken. Kalman fi...
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| Format: | Academic Exercise |
| Language: | English |
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2006
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/20145/1/Application%20of%20Kalman%20filter.pdf |
| _version_ | 1825713472252411904 |
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| author | Tew, Beng Liang |
| author_facet | Tew, Beng Liang |
| author_sort | Tew, Beng Liang |
| collection | UMS |
| description | Kalman filter is a useful tool in every field.It can be estimate the present, past and the future of a state that is given, for example a trajectory problem , and a dynamic state of car accelerator. It also uses as stochastic control and minimizes the error that produces by the data taken. Kalman filter is a set of mathematical equation that provides a method constructing an optimal estimate the system state.It is used predict the state of the process and the mean covariance of the data. Each time it will involve a pair which is the time update and measurement update. This filter can be used for smoothen the graph by reducing the mean square covariance that couse by noise. For this project, a source will be build for analyzing the data that is taken. The result of the experiment, show that the Kalman filter is use to smoothen the data which had a noise or a noisy data. Besides that, the Kalman filter also show how well the kalman filter performance. |
| first_indexed | 2024-03-06T02:57:07Z |
| format | Academic Exercise |
| id | ums.eprints-20145 |
| institution | Universiti Malaysia Sabah |
| language | English |
| last_indexed | 2024-03-06T02:57:07Z |
| publishDate | 2006 |
| record_format | dspace |
| spelling | ums.eprints-201452018-06-07T01:01:50Z https://eprints.ums.edu.my/id/eprint/20145/ Application of Kalman filter Tew, Beng Liang QA Mathematics Kalman filter is a useful tool in every field.It can be estimate the present, past and the future of a state that is given, for example a trajectory problem , and a dynamic state of car accelerator. It also uses as stochastic control and minimizes the error that produces by the data taken. Kalman filter is a set of mathematical equation that provides a method constructing an optimal estimate the system state.It is used predict the state of the process and the mean covariance of the data. Each time it will involve a pair which is the time update and measurement update. This filter can be used for smoothen the graph by reducing the mean square covariance that couse by noise. For this project, a source will be build for analyzing the data that is taken. The result of the experiment, show that the Kalman filter is use to smoothen the data which had a noise or a noisy data. Besides that, the Kalman filter also show how well the kalman filter performance. 2006 Academic Exercise NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/20145/1/Application%20of%20Kalman%20filter.pdf Tew, Beng Liang (2006) Application of Kalman filter. Universiti Malaysia Sabah. (Unpublished) |
| spellingShingle | QA Mathematics Tew, Beng Liang Application of Kalman filter |
| title | Application of Kalman filter |
| title_full | Application of Kalman filter |
| title_fullStr | Application of Kalman filter |
| title_full_unstemmed | Application of Kalman filter |
| title_short | Application of Kalman filter |
| title_sort | application of kalman filter |
| topic | QA Mathematics |
| url | https://eprints.ums.edu.my/id/eprint/20145/1/Application%20of%20Kalman%20filter.pdf |
| work_keys_str_mv | AT tewbengliang applicationofkalmanfilter |