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Fixed-time optimal time-varying formation control for unmanned surface vehicle systems based on reinforcement learning.

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Title: Fixed-time optimal time-varying formation control for unmanned surface vehicle systems based on reinforcement learning.
Authors: Kang, Qiaokun1, Gan, Qintao1, ganqintao@aeu.edu.cn, Li, Ruihong1, Li, Luke1, Ren, Guoquan1
Source: ISA Transactions; Dec2025:Part A, Vol. 167, p168-182, 15p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 189759098
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Fixed-time optimal time-varying formation control for unmanned surface vehicle systems based on reinforcement learning.
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  Data: <searchLink fieldCode="AU" term="%22Kang%2C+Qiaokun%22">Kang, Qiaokun</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Gan%2C+Qintao%22">Gan, Qintao</searchLink><relatesTo>1</relatesTo>, <i>ganqintao@aeu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Li%2C+Ruihong%22">Li, Ruihong</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Li%2C+Luke%22">Li, Luke</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Ren%2C+Guoquan%22">Ren, Guoquan</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22ISA+Transactions%22">ISA Transactions</searchLink>; Dec2025:Part A, Vol. 167, p168-182, 15p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=189759098
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.isatra.2025.07.057
    Languages:
      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 168
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      – TitleFull: Fixed-time optimal time-varying formation control for unmanned surface vehicle systems based on reinforcement learning.
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            NameFull: Kang, Qiaokun
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            NameFull: Gan, Qintao
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            NameFull: Li, Ruihong
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            NameFull: Li, Luke
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            – D: 01
              M: 12
              Text: Dec2025:Part A
              Type: published
              Y: 2025
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              Value: 167
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