Fault diagnosis for a class of descriptor linear parameter-varying systems

SUMMARY In this paper, a model‐based fault estimation method for a particular class of discrete‐time descriptor linear parameter‐varying systems is developed. The main contribution of this work consists in the design of an observer that performs simultaneously both, the states estimation and the fau...

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Bibliographic Details
Published inInternational journal of adaptive control and signal processing Vol. 26; no. 3; pp. 208 - 223
Main Authors Astorga-Zaragoza, C. M., Theilliol, D., Ponsart, J. C., Rodrigues, M.
Format Journal Article
LanguageEnglish
Published Chichester, UK John Wiley & Sons, Ltd 01.03.2012
Wiley
Subjects
Automatic
descriptor systems
Engineering Sciences
fault estimation
Faults
LPV systems
Mathematical analysis
Mathematical models
Observers
State estimation
Vectors (mathematics)
LPV systems
descriptor systems
observers
fault estimation
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Summary:SUMMARY In this paper, a model‐based fault estimation method for a particular class of discrete‐time descriptor linear parameter‐varying systems is developed. The main contribution of this work consists in the design of an observer that performs simultaneously both, the states estimation and the fault magnitude vectors, considered as unknown inputs. The conditions for the existence of such observer are given. Such conditions guarantee the observer stability and they are proved through a Lyapunov analysis combined with a linear matrix inequalities formulation. The fault estimation scheme is evaluated through numerical simulations. Copyright © 2011 John Wiley & Sons, Ltd.
Bibliography:istex:0F57AA8C20F38F7E70FF94644E77EB3ECA7B9350
ark:/67375/WNG-FD1P28V7-J
ArticleID:ACS1259
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0890-6327
1099-1115
DOI:10.1002/acs.1259