Robust model matching for geometric fault detection filters

Peter J Seiler Jr, József Bokor, Balint Vanek, Gary J. Balas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

Geometric fault detection and isolation filters are known for having excellent fault isolation properties. However, they are generally assumed to be sensitive to model uncertainty and noise. This paper proposes a robust model matching method to incorporate model uncertainty into the design of geometric fault detection filters. Several existing methods for robust filter synthesis are described to solve the robust model matching problem. It is then shown that the robust model matching problem has an interesting self-optimality property for multiplicative input uncertainty models. Finally, a simple example is presented to study the effect of parametric uncertainty and unmodeled dynamics on the performance of a geometric filter.

Original languageEnglish (US)
Title of host publicationProceedings of the 2011 American Control Conference, ACC 2011
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages226-231
Number of pages6
ISBN (Print)9781457700804
DOIs
StatePublished - 2011

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Fingerprint Dive into the research topics of 'Robust model matching for geometric fault detection filters'. Together they form a unique fingerprint.

  • Cite this

    Seiler Jr, P. J., Bokor, J., Vanek, B., & Balas, G. J. (2011). Robust model matching for geometric fault detection filters. In Proceedings of the 2011 American Control Conference, ACC 2011 (pp. 226-231). [5991249] (Proceedings of the American Control Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/acc.2011.5991249