A Geometric Approach to Fault Detection and Isolation of Linear Discrete-time Systems

Author(s):  
Zhao Zhang ◽  
Jie Huang ◽  
Xiao He
2020 ◽  
Author(s):  
Silvane Schons ◽  
Daniel Coutinho ◽  
Michel Kinnaert

This paper deals with the design of a robust lter aimed for fault detection and isolation applied to discrete-time systems subject to arbitrary (not necessarily vanishing) normbounded (i.e., `1) input disturbances. The idea is to approximate the behavior from faults to residual given by a reference model despite the presence of disturbances. The lter design iscast as an optimization problem subject to linear matrix inequality constraints. A numerical example is presented to demonstrate the potential of the proposed approach.


2002 ◽  
Vol 35 (1) ◽  
pp. 323-328 ◽  
Author(s):  
Eric C Kerrigan ◽  
John Lygeros ◽  
Jan M Maciejowski

2008 ◽  
Vol 2008 ◽  
pp. 1-16 ◽  
Author(s):  
Nike Liu ◽  
Kemin Zhou

This paper considers robust fault-detection problems for linear discrete time systems. It is shown that the optimal robust detection filters for several well-recognized robust fault-detection problems, such asℋ−/ℋ∞,ℋ2/ℋ∞, andℋ∞/ℋ∞problems, are the same and can be obtained by solving a standard algebraic Riccati equation. Optimal filters are also derived for many other optimization criteria and it is shown that some well-studied and seeming-sensible optimization criteria for fault-detection filter design could lead to (optimal) but useless fault-detection filters.


Sign in / Sign up

Export Citation Format

Share Document