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Robust fault isolation observers for non-square systems - a parametric approach

Wahrburg, Arne ; Adamy, Jürgen (2023):
Robust fault isolation observers for non-square systems - a parametric approach. (Publisher's Version)
In: IFAC Proceedings Volumes, 45 (20), pp. 1275-1280. IFAC - International Federation of Automatic Control, ISSN 1474-6670,
DOI: 10.26083/tuprints-00023315,

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Item Type: Article
Origin: Secondary publication service
Status: Publisher's Version
Title: Robust fault isolation observers for non-square systems - a parametric approach
Language: English

In this article, a linear matrix inequality (LMI)-based design for robust fault isolation observers (FIOs) for linear systems with arbitrary fault detectability indices is presented. A parametric design is used to achieve stable fault isolation in square systems as well as non-square systems. Based on this design, the influence of arbitrary disturbances is attenuated by a proper optimization of the observer gain matrices. The applicability of the proposed design is verified in simulations of a helicopter model.

Journal or Publication Title: IFAC Proceedings Volumes
Volume of the journal: 45
Issue Number: 20
Place of Publication: Darmstadt
Publisher: IFAC - International Federation of Automatic Control
Uncontrolled Keywords: robust fault isolation, observer-based fault isolation, LMIs, parametric design
Classification DDC: 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau
Divisions: 18 Department of Electrical Engineering and Information Technology > Institut für Automatisierungstechnik und Mechatronik > Control Methods and Intelligent Systems
Date Deposited: 03 Mar 2023 10:03
Last Modified: 26 May 2023 07:12
DOI: 10.26083/tuprints-00023315
Corresponding Links:
URN: urn:nbn:de:tuda-tuprints-233150
Additional Information:

Zugl. Konferenzveröffentlichung: 8th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes (SAFEPROCESS), 29.-31.08.2012, Mexico City, Mexico

URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/23315
PPN: 507994094
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