| Autor: |
Hu Shang-cheng, Li Yong-gang, Li Xiang-ming, Li Sheng-ping, Wang Yi |
| Jazyk: |
English<br />French |
| Rok vydání: |
2016 |
| Předmět: |
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| Zdroj: |
MATEC Web of Conferences, Vol 63, p 04046 (2016) |
| Druh dokumentu: |
article |
| ISSN: |
2261-236X |
| DOI: |
10.1051/matecconf/20166304046 |
| Popis: |
The ship-sway is a non-stationary time series while ship sailing in the sea , when using the traditional orthogonal polynomial fitting,index filtering or Kalman filtering to predict ship-sway, the prediction error may be large, because the model parameters are fixed and cannot be adjusted in real time according to the measured data. Multi-level recursive method treats the dynamic system as a time-varying parameters of the system, and can be more in line with the objective reality of rocking the ship. After analyzing the characteristics of the ship-sway, the predict model established by multi-level recursive has been built and test results showed that this model can improve the prediction accuracy of the ship-sway data, and has some practical value in the prediction of the ship-sway. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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