Luo, H.; Li, K.; Song, X.; Yin, S.; Ding, Steven X.; Li, L.; Yang, X.:
Process Monitoring System Design via the Closed-Loop Identified Data-Driven SKR ⁎
In: IFAC-PapersOnLine, Vol. 51 (2018), No. 24, pp. 367 - 372
2018article/chapter in journalOA Bronze
Electrical Engineering and Information TechnologyFaculty of Engineering » Engineering and Information Technology » Automatic Control and Complex Systems
Related: 1 publication(s)
Title in English:
Process Monitoring System Design via the Closed-Loop Identified Data-Driven SKR ⁎
Author:
Luo, H.UDE
LSF ID
54702
ORCID
0000-0003-2143-2438ORCID iD
Other
connected with university
;Li, K.
;Song, X.
;Yin, S.
;Ding, Steven X.UDE
GND
134302427
LSF ID
2347
ORCID
0000-0002-5149-5918ORCID iD
Other
connected with university
;Li, L.UDE
Other
connected with university
;Yang, X.
Year of publication:
2018
Open Access?:
OA Bronze
DOI
10.1016/j.ifacol.2018.09.603
Scopus ID
85054573397
Language of text:
English
Appears in
IFAC-PapersOnLine
Title in English (alternative):
IFAC Papers Online
Place of publication:
Amsterdam
Publisher:
Elsevier
in:
Vol. 51 (2018), No. 24, pp. 367 - 372
ISSN
2405-8963 Show availability online & print
ISSN
1474-6670 Show availability online & print
ZDB ID
2839185-8
Note:
Ab Volume 48. 2015-
Preceding:
IFAC Proceedings Volumes
Keyword, Topic:
closed-loop identification ; Data-driven ; fault detection ; process monitoring ; stable kernel representation (SKR) ; subspace method