Wang, Haibo; Lam, James; Ding, Steven X.; Zhong, Maiying:
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, Vol. 219 (2005), No. 2, pp. 161 - 172
2005article/chapter in journal
TechnologyFaculty of Engineering » Engineering and Information Technology » Automatic Control and Complex Systems
Title:
Iterative linear matrix inequalit algorithms for fault detection with unknown inputs
Author:
Wang, Haibo;Lam, James;Ding, Steven X.UDE
GND
134302427
LSF ID
2347
ORCID
0000-0002-5149-5918ORCID iD
Other
connected with university
;Zhong, Maiying
Year of publication:
2005
DOI
10.1243/095965105X9489
Appears in
Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering
in:
Vol. 219 (2005), No. 2, pp. 161 - 172
ISSN
0959-6518 Show availability online & print

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.