Diagnosability of networks of hybrid systems

Lachlan Blackhall*, Priscilla Kan John, Alban Grastien, David J. Hill

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    Results for the diagnosability of hybrid dynamical networks are presented. These results give the conditions for which arbitrary events (including faults) in hybrid networks can be detected and isolated using a general class of indicator functions. These results emerge from the overlap of the control theoretic fault detection and isolation and diagnosis communities. The interaction of the many systems in the network is exploited to achieve diagnosability conditions dependent only on the number of events in the network rather than the number of interconnected systems. The algorithmic complexity of the diagnosability conditions and methods of choosing a minimal indicator set that guarantee diagnosability are also addressed.

    Original languageEnglish
    Title of host publicationSAFEPROCESS'09 - 7th IFAC International Symposium on Fault Detection, Supervision and Safety of Technical Systems, Proceedings
    Pages1492-1497
    Number of pages6
    DOIs
    Publication statusPublished - 2009
    Event7th IFAC International Symposium on Fault Detection, Supervision and Safety of Technical Systems, SAFEPROCESS'09 - Barcelona, Spain
    Duration: 30 Jun 20093 Jul 2009

    Publication series

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

    Conference

    Conference7th IFAC International Symposium on Fault Detection, Supervision and Safety of Technical Systems, SAFEPROCESS'09
    Country/TerritorySpain
    CityBarcelona
    Period30/06/093/07/09

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