H∞ state estimation of continuous-time neural networks with uncertainties
H∞ state estimation of continuous-time neural networks with uncertainties
About this item
Full title
Author / Creator
Li, Aiting , Chen, Yanhui , Hu, Yun , Liu, Dazhi and Liu, Jinhui
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
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Scope and Contents
Contents
H
∞
state estimation is addressed for continuous-time neural networks in the paper. The norm-bounded uncertainties are considered in communication neural networks. For the considered neural networks with uncertainties, a reduced-order
H
∞
state estimator is designed, which makes that the error dynamics is exponentially stable and has...
Alternative Titles
Full title
H∞ state estimation of continuous-time neural networks with uncertainties
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_817d1e1a5f804844bf95ae50a110a2a4
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_817d1e1a5f804844bf95ae50a110a2a4
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-024-52209-x
