Diagnosis information in meta-rule adaptive fuzzy systems

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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 publication23rd EUROMICRO Conference: new frontiers of information technology, EUROMICRO'97. Budapest, HU, 1 - 4 Sept. 1997
Place of PublicationLos Alamitos
PublisherIEEE Institute of Electrical and Electronic Engineers
Pages564-569
ISBN (Print)0-8186-8129-2
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 Sep 19974 Sep 1997

Conference

Conference23rd EUROMICRO Conference, EUROMICRO'97
CountryHungary
CityBudapest
Period1/09/974/09/97

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  • Cite this

    Rauma, T. (1997). Diagnosis information in meta-rule adaptive fuzzy systems. In 23rd EUROMICRO Conference: new frontiers of information technology, EUROMICRO'97. Budapest, HU, 1 - 4 Sept. 1997 (pp. 564-569). IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/EURMIC.1997.617374