Variance-constrained resilient H∞ $H_\infty }$ state estimation for time-varying neural networks with randomly varying nonlinearities and missing measurements
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1687-1847
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Variance-constrained resilient H∞ $H_\infty }$ state estimation for time-varying neural networks with randomly varying nonlinearities and missing measurements ; volume:2019 ; number:1 ; day:5 ; month:9 ; year:2019 ; pages:1-23 ; date:12.2019
Advances in difference equations ; 2019, Heft 1 (5.9.2019), 1-23, 12.2019
- Urheber
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Gao, Yan
Hu, Jun
Chen, Dongyan
Du, Junhua
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s13662-019-2298-7
- URN
-
urn:nbn:de:101:1-2020012219253542598769
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:59 MESZ
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Beteiligte
- Gao, Yan
- Hu, Jun
- Chen, Dongyan
- Du, Junhua
- SpringerLink (Online service)
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