Diagnosis information in meta-rule adaptive fuzzy systems

Tapio Rauma

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

    1 Citation (Scopus)

    Abstract

    Meta-rule based adaptation methods are presented and discussed from the viewpoint of using fault diagnosis information in adapting a control system. Using fault diagnosis information in the parameterization of controllers is presented as a way to improve the performance of controllers in cases where faults, damages or a changing environment affect the behavior of a process or a device.The meta-rule approach, which is commonly used in control systems, is extended to cover information produced by a fault diagnosis system.The background of the methods presented is knowledge engineering with fuzzy logic and other intelligent techniques.
    Original languageEnglish
    Title of host publicationProceedings of the 23rd EUROMICRO Conference
    Subtitle of host publicationNew frontiers of information technology
    Place of PublicationLos Alamitos
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Pages564-569
    ISBN (Print)978-0-8186-8129-5
    DOIs
    Publication statusPublished - 1997
    MoE publication typeA4 Article in a conference publication
    Event23rd EUROMICRO Conference, EUROMICRO'97: New frontiers of information technology - Budapest, Hungary
    Duration: 1 Sept 19974 Sept 1997

    Publication series

    SeriesEUROMICRO Conference
    Volume23
    ISSN1089-6503

    Conference

    Conference23rd EUROMICRO Conference, EUROMICRO'97
    Country/TerritoryHungary
    CityBudapest
    Period1/09/974/09/97

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