<p class="TitleMain">Recursive parameter identification for second-order K-T equations of marine robot in horizontal motion</p>
Online Publishing @ NISCAIR
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Title Statement |
<p class="TitleMain">Recursive parameter identification for second-order K-T equations of marine robot in horizontal motion</p> |
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Added Entry - Uncontrolled Name |
Zhong, Y M Yu, C Y Liu, C H Liu, T M Wang, R Lian, L |
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Uncontrolled Index Term |
K-T equation, Least squares method, Marine robot, Parameter identification |
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Summary, etc. |
<p style="text-align: justify;">In this paper, a dedicated recursive least squares algorithm combining forgetting and weighted factors (FW-RLS) is proposed to identify parameters for the second-order K-T equation of marine robot in horizontal motion. First, the Abkowitz model in horizontal motion is converted into an equivalent second-order K-T equation to reduce the number of identification parameters. Second, a dedicated FW-RLS algorithm based on the equivalent second-order K-T equation is proposed. Finally, the superiority of the FW-RLS algorithm is verified by comparative numerical simulations, which show the FW-RLS algorithm has the online identification capability, higher identification accuracy, and faster convergence rate compared with the traditional batch least squares method.</p> |
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Publication, Distribution, Etc. |
Indian Journal of Geo-Marine Sciences (IJMS) 2022-10-05 16:11:45 |
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Electronic Location and Access |
application/pdf http://op.niscair.res.in/index.php/IJMS/article/view/66759 |
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Data Source Entry |
Indian Journal of Geo-Marine Sciences (IJMS); ##issue.vol## 50, ##issue.no## 11 (2021) |
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Language Note |
en |
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