A Reduced-Order TS Fuzzy Observer Scheme with Application to Actuator Faults Reconstruction

This paper focuses on the principle for designing reduced-order fuzzy-observer-based actuator fault reconstruction for a class of nonlinear systems. The problem addressed can be indicated as an approach for a kind of reduced-order fuzzy observer design with special gain matrix structure that depends...

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Main Authors: Dušan Krokavec, Anna Filasová
Format: Article
Language:English
Published: Hindawi Limited 2012-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2012/951953
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spelling doaj-e17edca86fb64e8087cd50e821ea9cd92020-11-24T22:55:12ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472012-01-01201210.1155/2012/951953951953A Reduced-Order TS Fuzzy Observer Scheme with Application to Actuator Faults ReconstructionDušan Krokavec0Anna Filasová1Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Letná 9, 042 00 Košice, SlovakiaDepartment of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Letná 9, 042 00 Košice, SlovakiaThis paper focuses on the principle for designing reduced-order fuzzy-observer-based actuator fault reconstruction for a class of nonlinear systems. The problem addressed can be indicated as an approach for a kind of reduced-order fuzzy observer design with special gain matrix structure that depends on a given matching condition specification. Using the Lyapunov theory, the stability conditions are obtained and expressed in terms of linear matrix inequalities, and the conditions for asymptotic estimation of actuator faults are derived. Simulation results illustrate the observer design procedure and demonstrate the actuator fault reconstruction effectiveness and performance.http://dx.doi.org/10.1155/2012/951953
collection DOAJ
language English
format Article
sources DOAJ
author Dušan Krokavec
Anna Filasová
spellingShingle Dušan Krokavec
Anna Filasová
A Reduced-Order TS Fuzzy Observer Scheme with Application to Actuator Faults Reconstruction
Mathematical Problems in Engineering
author_facet Dušan Krokavec
Anna Filasová
author_sort Dušan Krokavec
title A Reduced-Order TS Fuzzy Observer Scheme with Application to Actuator Faults Reconstruction
title_short A Reduced-Order TS Fuzzy Observer Scheme with Application to Actuator Faults Reconstruction
title_full A Reduced-Order TS Fuzzy Observer Scheme with Application to Actuator Faults Reconstruction
title_fullStr A Reduced-Order TS Fuzzy Observer Scheme with Application to Actuator Faults Reconstruction
title_full_unstemmed A Reduced-Order TS Fuzzy Observer Scheme with Application to Actuator Faults Reconstruction
title_sort reduced-order ts fuzzy observer scheme with application to actuator faults reconstruction
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2012-01-01
description This paper focuses on the principle for designing reduced-order fuzzy-observer-based actuator fault reconstruction for a class of nonlinear systems. The problem addressed can be indicated as an approach for a kind of reduced-order fuzzy observer design with special gain matrix structure that depends on a given matching condition specification. Using the Lyapunov theory, the stability conditions are obtained and expressed in terms of linear matrix inequalities, and the conditions for asymptotic estimation of actuator faults are derived. Simulation results illustrate the observer design procedure and demonstrate the actuator fault reconstruction effectiveness and performance.
url http://dx.doi.org/10.1155/2012/951953
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