Interpolative fuzzy reasoning in similarity based system reconfiguration

Szilveszter Kovacs, Laszlo T. Koczy

Research output: Contribution to journalConference article

2 Citations (Scopus)

Abstract

In case of redundant systems some kind of faults could be tolerated simply by changing the rulebase of the control system - by a system (strategy) reconfiguration. One solution for this kind of system reconfiguration could be the combination of the fuzzy clustering based symptom evaluation and the hierarchical interpolative fuzzy reasoning - the similarity based system reconfiguration. Its main idea is the following: More similar the actual symptom to one of the system behaviour classes, more similar must be the final conclusion to the decision done by the strategy handling that system behaviour class. A similarity based system reconfiguration method and as an example of its practical application, fault diagnosis and reconfiguration of a simplified three-tank benchmark system is introduced in this paper.

Original languageEnglish
Pages (from-to)V-226 - V-231
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume5
Publication statusPublished - Dec 1 1999
Event1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics' - Tokyo, Jpn
Duration: Oct 12 1999Oct 15 1999

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ASJC Scopus subject areas

  • Control and Systems Engineering
  • Hardware and Architecture

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