Title :
Robust filters for fault detection and diagnosis: An H∞ optimization approach
Author :
Rios-Bolivar, Addison ; Garcia, Germain
Author_Institution :
Dept. de Control, Univ. de Los Andes, Merida, Venezuela
Abstract :
In this paper, the design of filters for fault detection and diagnosis using a post filter and an H∞ optimization approach is investigated. The problem is translated into an H∞ output feedback control and some classical methods can be used to solve it. The design of the detection filter is done in two steps, and the filter allows the detection and the isolation of multiple faults, in presence of perturbation and uncertainties.
Keywords :
H∞ control; fault diagnosis; feedback; filtering theory; H∞ output feedback control; H∞ optimization; detection filter design; fault detection and diagnosis; perturbation; robust filters; uncertainties; Estimation; Fault detection; Optimal control; Optimization; Robustness; Uncertainty; Fault diagnosis. Robust fault detection and diagnosis filter. H∞ optimal control. Filtering H∞. Robust estimation;
Conference_Titel :
Control Conference (ECC), 2001 European
Conference_Location :
Porto
Print_ISBN :
978-3-9524173-6-2
