Parameter Identification of an Unmanned Surface Vessel Nomoto Model Based on an Improved Extended Ka...
Parameter Identification of an Unmanned Surface Vessel Nomoto Model Based on an Improved Extended Kalman Filter
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Basel: MDPI AG
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English
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Basel: MDPI AG
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The accurate nonlinear modeling of an unmanned surface vessel (USV) is essential for advanced control and operational performance. This paper combines the locally weighted regression (LWR) algorithm and the extended Kalman filter (EKF) for parameter identification using state data from full-scale vessel experiments. To mitigate the effects of distu...
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Parameter Identification of an Unmanned Surface Vessel Nomoto Model Based on an Improved Extended Kalman Filter
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TN_cdi_doaj_primary_oai_doaj_org_article_68743c2871fc44a4839e8e5ba1d193c2
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_68743c2871fc44a4839e8e5ba1d193c2
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ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app15010161
