DocumentCode :
66866
Title :
Fault detection of switched systems with repeated scalar non-linearities
Author :
Zhong Zheng ; Ligang Wu ; Yongyang Xiong
Author_Institution :
Space Control & Inertial Technol. Res. Center, Harbin Inst. of Technol., Harbin, China
Volume :
8
Issue :
9
fYear :
2014
fDate :
June 12 2014
Firstpage :
755
Lastpage :
764
Abstract :
This study is concerned with the generalised ℋ2 fault detection problem for a class of discrete-time switched systems with repeated scalar non-linearities. To reduce the overdesign of the quadratic framework, this study proposes a switching-sequence-dependent Lyapunov function approach to the fault detection filter design procedure. Sufficient conditions are obtained for the existence of admissible generalised ℋ2 fault detection filter. Since these conditions involve matrix equalities, the cone complementarity linearisation procedure is employed to cast the non-convex feasibility problem into a sequential minimisation problem subject to linear matrix inequalities, which can be readily solved by using the standard numerical software. If these conditions are feasible, a desired fault detection filter can be easily constructed. Finally, a numerical example is given to illustrate the effectiveness of the proposed theory.
Keywords :
H control; Lyapunov methods; control nonlinearities; control system synthesis; discrete time systems; fault tolerant control; linear matrix inequalities; linearisation techniques; minimisation; admissible generalised H2 fault detection filter; cone complementarity linearisation procedure; discrete-time switched systems; fault detection filter design procedure; generalised H2 fault detection problem; linear matrix inequalities; quadratic framework design; repeated scalar nonlinearities; sequential minimisation problem; sufficient conditions; switching-sequence-dependent Lyapunov function approach;
fLanguage :
English
Journal_Title :
Control Theory & Applications, IET
Publisher :
iet
ISSN :
1751-8644
Type :
jour
DOI :
10.1049/iet-cta.2013.0463
Filename :
6842528
Link To Document :
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