Title :
New Results In Robust Observation And Fault Reconstruction
Author :
Tan, C.P. ; Crusca, F. ; Aldeen, M.
Author_Institution :
Sch. of Eng., Monash Univ.
Abstract :
A common requirement that is implicit in current methods for the design of robust state estimators and robust fault detection filters is that the first Markov matrix must be non-zero, and indeed, full rank. We relax both of these restrictions in this paper to allow the applicability to a wider range of systems. The extended results are then applied to an aircraft fault detection for which the restrictive condition is not satisfied
Keywords :
Markov processes; fault diagnosis; matrix algebra; observers; robust control; variable structure systems; Markov matrix; aircraft fault detection; fault reconstruction; observers; robust fault detection filters; robust observation; robust state estimators; sliding mode; Aerospace control; Aerospace industry; Design engineering; Fault detection; Filters; Observers; Robustness; State estimation; Systems engineering and theory; Uncertainty; fault detection; observers; robust estimation; sliding mode;
Conference_Titel :
Control, Automation, Robotics and Vision, 2006. ICARCV '06. 9th International Conference on
Conference_Location :
Singapore
Print_ISBN :
1-4244-0341-3
Electronic_ISBN :
1-4214-042-1
DOI :
10.1109/ICARCV.2006.345284
