Network-based H∞ state estimation for neural networks using imperfect measurement

Lee, Tae-Hee, Park, Ju H and Jung, Hoyoul 2018, Network-based H∞ state estimation for neural networks using imperfect measurement, Applied mathematics and computation, vol. 316, pp. 205-214, doi: 10.1016/j.amc.2017.08.034.

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Title Network-based H∞ state estimation for neural networks using imperfect measurement
Author(s) Lee, Tae-HeeORCID iD for Lee, Tae-Hee orcid.org/0000-0003-3953-6913
Park, Ju H
Jung, Hoyoul
Journal name Applied mathematics and computation
Volume number 316
Start page 205
End page 214
Total pages 10
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2018-01-01
ISSN 0096-3003
Keyword(s) neural network
state estimation
H∞ control
sampling
transmission delay
packet dropout
science & technology
physical sciences
mathematics, applied
mathematics
H-infinity control
Language eng
DOI 10.1016/j.amc.2017.08.034
Field of Research 0102 Applied Mathematics
0103 Numerical And Computational Mathematics
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2017, Elsevier Inc.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30115730

Document type: Journal Article
Collections: Centre for Intelligent Systems Research
GTP Research
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