Title :
Fault detection via parameter robust estimation
Author :
Chung, Walter H. ; Speyer, Jason L.
Author_Institution :
Dept. of Mech. Aerosp. Eng., California Univ., Los Angeles, CA, USA
Abstract :
We derive and analyze a fault detection filter which is robust to model uncertainty. To do this, we recast the fault detection problem as a disturbance attenuation problem and then incorporate parameter variations as an additional disturbance. The corresponding solution is a parameter robust game theoretic fault detection filter. A second look at our results, however, shows that the parameter robust estimation problem is equivalent to the measurement feedback H∞ control problem and that the parameter robust filter cannot converge asymptotically to a classic detection filter structure
Keywords :
H∞ control; fault diagnosis; filtering theory; game theory; minimax techniques; parameter estimation; H∞ control; disturbance attenuation; fault detection filter; game theory; measurement feedback; minimax technique; parameter estimation; Attenuation; Fault detection; Fault diagnosis; Filters; Game theory; Parameter estimation; Riccati equations; Robust control; Robustness; Uncertainty;
Conference_Titel :
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4187-2
DOI :
10.1109/CDC.1997.652485