Li, Linlin; Ding, Steven X.; Yang, Ying; Peng, Kaixiang; Qiu, Jianbin:
A fault detection approach for nonlinear systems based on data-driven realizations of fuzzy kernel representations
In: IEEE Transactions on Fuzzy Systems (T-FUZZ), Vol. 26 (2018), No. 4, pp. 1800 - 1812
2018article/chapter in journalClosed access
Electrical Engineering and Information TechnologyFaculty of Engineering » Engineering and Information Technology » Automatic Control and Complex Systems
Related: 1 publication(s)
Title in English:
A fault detection approach for nonlinear systems based on data-driven realizations of fuzzy kernel representations
Author:
Li, LinlinUDE
LSF ID
12202
ORCID
0000-0002-6387-6013ORCID iD
Other
connected with university
;Ding, Steven X.UDE
GND
134302427
LSF ID
2347
ORCID
0000-0002-5149-5918ORCID iD
Other
connected with university
;Yang, Ying
Other
corresponding author
;Peng, Kaixiang
;Qiu, Jianbin
Year of publication:
2018
Open Access?:
Closed access
DOI
10.1109/TFUZZ.2017.2752136
IEEE ID
8036270
Web of Science ID
000440798300003
Scopus ID
85030308506
Language of text:
English
Appears in
IEEE Transactions on Fuzzy Systems (T-FUZZ)
Title in English (abbreviated):
IEEE Trans Fuzzy Syst
Place of publication:
New York
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
in:
Vol. 26 (2018), No. 4, pp. 1800 - 1812
ISSN
1941-0034 Show availability online & print
ISSN
1063-6706 Show availability online & print
ZDB ID
2028083-X
Library shelfmark:
88 Z 200
Keyword, Topic:
Algorithm design and analysis ; Analytical models ; Data models ; data-driven methods ; Fault detection ; Fuzzy fault detection schemes ; Kernel ; kernel representation ; Mathematical model ; Nonlinear systems ; observer-based fault detection ; randomized algorithms
Type of resource:
Text
DESTATIS Subject Classification:
7100 Elektrotechnik allgemein