Brief paper: Extended results on robust state estimation and fault detection

Authors:
C. P. Tan;F. Crusca;M. Aldeen
Affiliations:
School of Engineering, Monash University Sunway campus, Jalan Lagoon Selatan, 46150 Selangor, Malaysia;Department of Electrical and Computer Systems Engineering, Building 72, Monash University, Melbourne, Victoria 3800, Australia;Department of Electrical and Electronic Engineering, University of Melbourne, Parkville, Victoria, 3010, Australia
Venue:
Automatica (Journal of IFAC)
Year:
2008

Citing 2
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Abstract

A common requirement implicit in the 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.