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Optimal attack strategy for binary measurements-based Hammerstein system identification subject to data tampering attacks.

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Title: Optimal attack strategy for binary measurements-based Hammerstein system identification subject to data tampering attacks.
Authors: Zhou, Zimeng1 (AUTHOR), Zhang, Qingxiang1 (AUTHOR), Jing, Fengwei2 (AUTHOR) jingfengwei@nercar.ustb.edu.cn, Guo, Jin1 (AUTHOR)
Source: Electronic Research Archive. 2026, Vol. 34 Issue 7, p1-25. 25p.
Database: Academic Search Ultimate
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Header DbId: asn
DbLabel: Academic Search Ultimate
An: 194641680
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PubType: Academic Journal
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  Data: Optimal attack strategy for binary measurements-based Hammerstein system identification subject to data tampering attacks.
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  Data: <searchLink fieldCode="AR" term="%22Zhou%2C+Zimeng%22">Zhou, Zimeng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Qingxiang%22">Zhang, Qingxiang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jing%2C+Fengwei%22">Jing, Fengwei</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> jingfengwei@nercar.ustb.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Guo%2C+Jin%22">Guo, Jin</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Electronic+Research+Archive%22">Electronic Research Archive</searchLink>. 2026, Vol. 34 Issue 7, p1-25. 25p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194641680
RecordInfo BibRecord:
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    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 25
        StartPage: 1
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      – TitleFull: Optimal attack strategy for binary measurements-based Hammerstein system identification subject to data tampering attacks.
        Type: main
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            NameFull: Zhou, Zimeng
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            NameFull: Zhang, Qingxiang
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            NameFull: Jing, Fengwei
      – PersonEntity:
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            NameFull: Guo, Jin
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            – D: 01
              M: 07
              Text: 2026
              Type: published
              Y: 2026
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              Value: 34
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              Value: 7
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            – TitleFull: Electronic Research Archive
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