The joint optimal filtering and fault detection for multi-rate sensor fusion under unknown inputs

2016 ◽  
Vol 29 ◽  
pp. 57-67 ◽  
Author(s):  
Hang Geng ◽  
Yan Liang ◽  
Feng Yang ◽  
Linfeng Xu ◽  
Quan Pan
Keyword(s):  
Fault Detection ◽  
Sensor Fusion ◽  
Optimal Filtering ◽  
Unknown Inputs ◽  
Rate Sensor

Model-reduced fault detection for multi-rate sensor fusion with unknown inputs

2017 ◽  
Vol 33 ◽  
pp. 1-14 ◽  
Author(s):  
Hang Geng ◽  
Yan Liang ◽  
Feng Yang ◽  
Linfeng Xu ◽  
Quan Pan
Keyword(s):  
Fault Detection ◽  
Sensor Fusion ◽  
Unknown Inputs ◽  
Rate Sensor

scholarly journals On Disturbance Decoupled Observers for a Class of Bilinear Systems

1998 ◽  
Vol 120 (3) ◽  
pp. 371-377 ◽  
Author(s):  
M. Zasadzinski ◽  
H. Rafaralahy ◽  
C. Mechmeche ◽  
M. Darouach
Keyword(s):  
Fault Detection ◽  
Linear System ◽  
Sufficient Conditions ◽  
Bilinear Systems ◽  
Necessary And Sufficient Conditions ◽  
Observer Design ◽  
Unknown Inputs ◽  
Existence Conditions ◽  
Error Dynamics ◽  
Necessary And Sufficient

In this paper, the class of bilinear systems subjected to unknown inputs for which there exists a disturbance decoupled observer with linear error dynamics is characterized. It is shown that the design of this kind of observer is equivalent to the design of a disturbance decoupled observer for a linear system. This result simplifies considerably the observer design compared to those proposed in the literature, and the observer existence conditions can be easily deduced. As a corollary of this result, necessary and sufficient conditions for the existence of disturbance decoupled linear observers for bilinear systems subjected to unknown inputs are derived. This approach is extended to the fault detection of bilinear systems.

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