Title :
An H∞ bounded fault detection filter
Author :
Douglas, Randal K. ; Speyer, Jason L.
Author_Institution :
California Univ., Los Angeles, CA, USA
Abstract :
In practical fault detection filter applications, a key issue is sensitivity to system disturbances and sensor noise. In this paper, a stabilizing fault detection filter gain is found that bounds the H∞ norm of the transfer matrix from system disturbances and sensor noise to the residual
Keywords :
Riccati equations; fault diagnosis; fault location; filtering theory; observers; transfer function matrices; H∞ bounded fault detection filter; H∞ norm; disturbances; sensitivity; sensor noise; stabilizing fault detection filter gain; transfer matrix; Actuators; Condition monitoring; Fault detection; Fault diagnosis; Filters; Null space; Observability; Observers; Stability; State estimation;
Conference_Titel :
American Control Conference, Proceedings of the 1995
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2445-5
DOI :
10.1109/ACC.1995.529213
