A Novel Approach to State and Unknown Input Estimation for Takagi-Sugeno Fuzzy Models with Applications to Fault Detection
In: IEEE Transactions on Circuits and Systems, Part I : Regular Papers, Vol. 67 (2020), No. 6, pp. 2053 - 2063
2020article/chapter in journalOA Green
Electrical Engineering and Information TechnologyFaculty of Engineering » Engineering and Information Technology » Automatic Control and Complex Systems
Title in English:
A Novel Approach to State and Unknown Input Estimation for Takagi-Sugeno Fuzzy Models with Applications to Fault Detection
Author:
Zhao, DongUDE
- LSF ID
- 59375
- Other
- connected with university
- Other
- corresponding author
- GND
- 134302427
- LSF ID
- 2347
- ORCID
-
0000-0002-5149-5918
- Other
- connected with university
Year of publication:
2020
Open Access?:
OA Green
IEEE ID
Web of Science ID
Scopus ID
Language of text:
English
Keyword, Topic:
fault detection ; Fuzzy systems ; matrix equation ; state estimation ; unknown input
Type of resource:
Text
Access Rights:
open access