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 language | English |
|---|---|
| Title of host publication | 23rd EUROMICRO Conference: new frontiers of information technology, EUROMICRO'97. Budapest, HU, 1 - 4 Sept. 1997 |
| Place of Publication | Los Alamitos |
| Publisher | IEEE Institute of Electrical and Electronic Engineers |
| Pages | 564-569 |
| ISBN (Print) | 0-8186-8129-2 |
| DOIs | |
| Publication status | Published - 1997 |
| MoE publication type | A4 Article in a conference publication |
| Event | 23rd EUROMICRO Conference, EUROMICRO'97: New frontiers of information technology - Budapest, Hungary Duration: 1 Sep 1997 → 4 Sep 1997 |
Conference
| Conference | 23rd EUROMICRO Conference, EUROMICRO'97 |
|---|---|
| Country | Hungary |
| City | Budapest |
| Period | 1/09/97 → 4/09/97 |
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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