Iterative linear matrix inequalit algorithms for fault detection with unknown inputs
In: Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, Jg. 219 (2005), Heft 2, S. 161 - 172
2005Artikel/Aufsatz in Zeitschrift
TechnikFakultät für Ingenieurwissenschaften » Elektrotechnik und Informationstechnik » Automatisierungstechnik und komplexe Systeme
Titel:
Iterative linear matrix inequalit algorithms for fault detection with unknown inputs
Autor*in:
Wang, Haibo;Lam, James;Ding, Steven X.UDE
- GND
- 134302427
- LSF ID
- 2347
- ORCID
-
0000-0002-5149-5918
- Sonstiges
- der Hochschule zugeordnete*r Autor*in
Erscheinungsjahr:
2005
Erschienen in
Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering
in:
Jg. 219 (2005), Heft 2, S. 161 - 172
ISSN
Abstract:
This paper deals with the fault detection problem for linear time-invariant systems with unknown disturbances. Two separate performance indices are presented to facilitate the design of desirable fault detection observers. Iterative linear matrix inequality (LMI) algorithms are proposed in order to design a fault detection observer that aims at enhancing the fault detection and attenuating the effects due to unknown inputs. Numerical examples are employed to demonstrate the effectiveness of the proposed methods.