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Disturbance estimator-based robust optimal formation control for switched multi-AUV systems via reinforcement learning.

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Title: Disturbance estimator-based robust optimal formation control for switched multi-AUV systems via reinforcement learning.
Authors: Sha, Hongsheng1,2, Miao, Zhonghua2, Li, Bing1,3, Xu, Ruimin4, Guo, Rongwei1,4, rwguo@qlu.edu.cn
Source: Ocean Engineering; Jun2026:Part 3, Vol. 357, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 193397464
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: <searchLink fieldCode="AU" term="%22Sha%2C+Hongsheng%22">Sha, Hongsheng</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Miao%2C+Zhonghua%22">Miao, Zhonghua</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Li%2C+Bing%22">Li, Bing</searchLink><relatesTo>1,3</relatesTo><br /><searchLink fieldCode="AU" term="%22Xu%2C+Ruimin%22">Xu, Ruimin</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AU" term="%22Guo%2C+Rongwei%22">Guo, Rongwei</searchLink><relatesTo>1,4</relatesTo>, <i>rwguo@qlu.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Ocean+Engineering%22">Ocean Engineering</searchLink>; Jun2026:Part 3, Vol. 357, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193397464
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.oceaneng.2026.125578
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      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
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      – TitleFull: Disturbance estimator-based robust optimal formation control for switched multi-AUV systems via reinforcement learning.
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            NameFull: Sha, Hongsheng
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            NameFull: Miao, Zhonghua
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            NameFull: Li, Bing
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              M: 06
              Text: Jun2026:Part 3
              Type: published
              Y: 2026
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              Value: 357
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