LPV model identification with an unknown scheduling variable in the presence of missing observations – a robust global approach.

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Title: LPV model identification with an unknown scheduling variable in the presence of missing observations – a robust global approach.
Authors: Yang, Xianqiang1, xianqiangyang@hit.edu.cn, Liu, Xin1, Han, Boxuan1
Source: IET Control Theory & Applications (Wiley-Blackwell); Jul2018, Vol. 12 Issue 11, p1465-1473, 9p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 148081011
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PubType: Academic Journal
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  Data: LPV model identification with an unknown scheduling variable in the presence of missing observations – a robust global approach.
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  Data: <searchLink fieldCode="AU" term="%22Yang%2C+Xianqiang%22">Yang, Xianqiang</searchLink><relatesTo>1</relatesTo>, <i>xianqiangyang@hit.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Liu%2C+Xin%22">Liu, Xin</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Han%2C+Boxuan%22">Han, Boxuan</searchLink><relatesTo>1</relatesTo>
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=148081011
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1049/iet-cta.2017.1176
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      – Code: eng
        Text: English
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        PageCount: 9
        StartPage: 1465
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      – TitleFull: LPV model identification with an unknown scheduling variable in the presence of missing observations – a robust global approach.
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            NameFull: Yang, Xianqiang
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            NameFull: Liu, Xin
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            NameFull: Han, Boxuan
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              Text: Jul2018
              Type: published
              Y: 2018
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              Value: 12
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