A risk adjusted approach to robust simultaneous fault detection and isolation

Mario Sznaier, Wenjing Ma, Constantino Lagoa

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

    1 Scopus citations

    Abstract

    in this paper we address the problem of detecting and isolating faults from noisy input/output measurements of a MIMO uncertain-system, subject to structured dynamic uncertainty. The main result of the paper shows that this problem can be solved in a computationally efficient way by using a combination of sampling and LMI optimization tools. These results are illustrated using a simplified model of a flight control system.

    Original languageEnglish (US)
    Title of host publicationProceedings of the 16th IFAC World Congress, IFAC 2005
    Pages245-250
    Number of pages6
    StatePublished - Dec 1 2005
    Event16th Triennial World Congress of International Federation of Automatic Control, IFAC 2005 - Prague, Czech Republic
    Duration: Jul 3 2005Jul 8 2005

    Publication series

    NameIFAC Proceedings Volumes (IFAC-PapersOnline)
    Volume16
    ISSN (Print)1474-6670

    Other

    Other16th Triennial World Congress of International Federation of Automatic Control, IFAC 2005
    CountryCzech Republic
    CityPrague
    Period7/3/057/8/05

    All Science Journal Classification (ASJC) codes

    • Control and Systems Engineering

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  • Cite this

    Sznaier, M., Ma, W., & Lagoa, C. (2005). A risk adjusted approach to robust simultaneous fault detection and isolation. In Proceedings of the 16th IFAC World Congress, IFAC 2005 (pp. 245-250). (IFAC Proceedings Volumes (IFAC-PapersOnline); Vol. 16).