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Extended results on robust state estimation and fault detection , F. Crusca b
 

Summary: Extended results on robust state estimation and fault detection
C.P. Tan a
, F. Crusca b
, M. Aldeen c
a
School of Engineering, Monash University Malaysia, 2 Jalan Kolej, 46150 Petaling Jaya, Malaysia
b
Department of Electrical and Computer Systems Engineering, Building 72, Monash University, Melbourne, Victoria 3800, Australia
c
Department of Electrical and Electronic Engineering, University of Melbourne, Parkville, Victoria, 3010, Australia
Abstract
A common requirement 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.
Key words: fault detection, robust estimation, sliding mode, observers
1 Introduction
Fault detection and isolation (FDI) has been the subject of
extensive research for some time now, but especially since
the early 1990s [3,11]. The interest in this line of research
stems from its practical application to a variety of industries

  

Source: Aldeen, Mohammad - Department of Electrical and Electronic Engineering, University of Melbourne

 

Collections: Engineering