基于物理信息神经网络的卫星集群构形设计方法.
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| Title: | 基于物理信息神经网络的卫星集群构形设计方法. |
|---|---|
| Alternate Title: | Satellite Formation Configuration Design Using Physics-Informed Neural Networks. |
| Authors: | 巩浩1, 王继河1 wangjihe@mail.sysu.edu.cn, 卫国宁2, 李威2 |
| Source: | Aerospace Control & Application. Feb2026, Vol. 52 Issue 1, p48-54. 7p. |
| Database: | Academic Search Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 192214895 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: 基于物理信息神经网络的卫星集群构形设计方法. – Name: TitleAlt Label: Alternate Title Group: TiAlt Data: Satellite Formation Configuration Design Using Physics-Informed Neural Networks. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22巩浩%22">巩浩</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22王继河%22">王继河</searchLink><relatesTo>1</relatesTo><i> wangjihe@mail.sysu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22卫国宁%22">卫国宁</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22李威%22">李威</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Aerospace+Control+%26+Application%22">Aerospace Control & Application</searchLink>. Feb2026, Vol. 52 Issue 1, p48-54. 7p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=192214895 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3969/j.issn.1674-1579.2026.01.005 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 48 Titles: – TitleFull: 基于物理信息神经网络的卫星集群构形设计方法. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: 巩浩 – PersonEntity: Name: NameFull: 王继河 – PersonEntity: Name: NameFull: 卫国宁 – PersonEntity: Name: NameFull: 李威 IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 16741579 Numbering: – Type: volume Value: 52 – Type: issue Value: 1 Titles: – TitleFull: Aerospace Control & Application Type: main |
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