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Fault estimation—a standard problem approach
Author(s) -
Stoustrup J.,
H. Niemann H.
Publication year - 2002
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.716
Subject(s) - fault (geology) , parametric statistics , set (abstract data type) , optimization problem , computer science , nonlinear system , range (aeronautics) , variety (cybernetics) , mathematical optimization , class (philosophy) , mathematics , algorithm , engineering , artificial intelligence , statistics , physics , quantum mechanics , aerospace engineering , seismology , programming language , geology
Abstract This paper presents a range of optimization based approaches to fault diagnosis. A variety of fault diagnosis problems are reformulated in the so‐called standard problem set‐up introduced in the literature on robust control. Once the standard problem formulations are given, the fault diagnosis problems can be solved by standard optimization techniques. The proposed methods include (1) fault diagnosis (fault estimation, (FE)) for systems with model uncertainties; FE for systems with parametric faults, and FE for a class of nonlinear systems. Copyright © 2002 John Wiley & Sons, Ltd.