Research on PID Parameter Tuning and Optimization Based on SAC-Auto for USV Path Following
Research on PID Parameter Tuning and Optimization Based on SAC-Auto for USV Path Following
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Author / Creator
Song, Lifei , Xu, Chuanyi , Hao, Le , Yao, Jianxi and Guo, Rong
Publisher
Basel: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Basel: MDPI AG
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Scope and Contents
Contents
Unmanned surface vessels (USVs) are required to follow a path during a task. This is essential for the USV, especially when following a curvilinear path or considering the interference of waves, and this work has been proven to be complicated. In this paper, a PID parameter tuning and optimizing method based on deep reinforcement learning were prop...
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Full title
Research on PID Parameter Tuning and Optimization Based on SAC-Auto for USV Path Following
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_8d60148136844b9c81389c3334d16123
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8d60148136844b9c81389c3334d16123
Other Identifiers
ISSN
2077-1312
E-ISSN
2077-1312
DOI
10.3390/jmse10121847
