Worst-case fault detection observer design: an LMI approach

Author(s):  
Jian Liu ◽  
Jian Liang Wang ◽  
Guang-Hong Yang
2012 ◽  
Vol 18 (5) ◽  
pp. 343-349 ◽  
Author(s):  
Yingchun Zhang ◽  
Lina Wu ◽  
Jingjing Li ◽  
Xueqin Chen

Automatica ◽  
2007 ◽  
Vol 43 (9) ◽  
pp. 1656-1665 ◽  
Author(s):  
Jian Liang Wang ◽  
Guang-Hong Yang ◽  
Jian Liu

2006 ◽  
Vol 129 (1) ◽  
pp. 77-82 ◽  
Author(s):  
H. B. Wang ◽  
J. L. Wang ◽  
J. Lam

This paper deals with the Robust Fault Detection (RFD) problem with the aid of the H∞ norm and H− index optimization techniques and the LMI approach. First, a necessary and sufficient condition is proposed for the design of RFD observers in the nominal case. Then, the RFD problem for systems with structured uncertainties in the system matrices is considered. Approaches are proposed to design robust fault detection observers to enhance the fault detection and to attenuate the effects due to unknown inputs and uncertainties. Furthermore, the design of the threshold of fault detection is investigated. We also consider the fault sensitivity over finite frequency range in which case no constraint is required on D being of full column rank for a system (A,B,C,D). Numerical examples are employed to demonstrate the effectiveness of the proposed methods.


2012 ◽  
Vol 546-547 ◽  
pp. 874-879 ◽  
Author(s):  
Ying Chun Zhang ◽  
Li Na Wu ◽  
Zheng Fang Wang ◽  
Qing Xian Jia

This paper investigates the problem of the robust fault detection (RFD) observer design for linear uncertain systems with the aid of the H_ index and the H∞ norm, which are used to describe the problem of this observer design as optimization problems. Conditions for the existence of such a fault detection observer are given in terms of matrix inequalities. RFD problem with structured uncertainties in the system matrices is also considered. The solution is obtained by an iterative linear matrix inequality (ILMI) algorithm. Numerical example is employed to demonstrate the effectiveness of the proposed methods.


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