Optimal Detection Schemes for Multiplicative Faults in Uncertain Systems With Application to Rolling Mill Processes
In: IEEE Transactions on Control Systems Technology (T-CST), Vol. 28 (2020), No. 6, pp. 2432 - 2444
2020article/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 Detection Schemes for Multiplicative Faults in Uncertain Systems With Application to Rolling Mill Processes
Author:
Li, LinlinUDE
- LSF ID
- 12202
- ORCID
- 0000-0002-6387-6013
- Other
- connected with university
corresponding author
- GND
- 134302427
- LSF ID
- 2347
- ORCID
- 0000-0002-5149-5918
- Other
- connected with university
Year of publication:
2020
Open Access?:
Closed access
IEEE ID
Web of Science ID
Scopus ID
Language of text:
English
Keyword, Topic:
Additives ; Benchmark testing ; Fault detection ; Generators ; Industrial rolling mill processes ; multiplicative faults ; observer-based fault detection (FD) systems ; Process control ; Robustness ; uncertain systems. ; Uncertainty
Type of resource:
Text