Optimal Observer-based Fault Detection and Estimation Approaches for T-S Fuzzy Systems
In: IEEE Transactions on Fuzzy Systems (T-FUZZ), Vol. 30 (2022), No. 2, pp. 579 - 590
2022article/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:
Optimal Observer-based Fault Detection and Estimation Approaches for T-S Fuzzy Systems
Author:
Li, LinlinUDE
- LSF ID
- 12202
- ORCID
-
0000-0002-6387-6013
- Other
- connected with university
- GND
- 134302427
- LSF ID
- 2347
- ORCID
-
0000-0002-5149-5918
- Other
- connected with university
- Other
- corresponding author
Year of publication:
2022
Open Access?:
Closed access
IEEE ID
Web of Science ID
Scopus ID
Language of text:
English
Appears in
Title in English (abbreviated):
IEEE Trans Fuzzy Syst
Place of publication:
New York
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
in:
Vol. 30 (2022), No. 2, pp. 579 - 590
ISSN
ISSN
ZDB ID
Library shelfmark:
Keyword, Topic:
Fault detection ; fault estimation ; least squares estimation ; unified solution
Type of resource:
Text