Title of article
Fuzzy model validation using the local statistical approach
Author/Authors
Rigatos، نويسنده , , G. and Zhang، نويسنده , , Q.، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2009
Pages
23
From page
882
To page
904
Abstract
The local statistical approach for fault detection and isolation is applied to fuzzy models validation. The method detects the inconsistencies between a fuzzy rule base and the modelled system. It can also identify which are the faulty parameters of the fuzzy model. The Fisher information matrix explains the detectability of changes in the parameters of the fuzzy model. Simulation tests illustrate the methodʹs credibility.
Keywords
Local statistical approach , fault detection and isolation , Detectability , Fuzzy modelling , Fisher information matrix
Journal title
FUZZY SETS AND SYSTEMS
Serial Year
2009
Journal title
FUZZY SETS AND SYSTEMS
Record number
1600848
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