Fuzzy model validation using the local statistical approach
The local statistical approach for fault detection and isolation is applied to fuzzy models validation
Year of Publication2009
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 method's credibility.Citation
Rigatos, G.; Zhang, Q. (2009) "Fuzzy model validation using the local statistical approach"Fuzzy Sets and Systems 60 (7) pp 882-904
This item is categorised as follows
Additional keywords/tagslocal statistical approachfuzzy modellingdetectabilityfault detection and isolationfisher information matrix
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