Fuzzy model validation using the local statistical approach
The local statistical approach for fault detection and isolation is applied to fuzzy models validation. The method detects the inconsistencies between a fuzzy I-Life base and the modelled system. It can also identify which are the faulty parameters of the fuzzy model. The Fisher information matrix explains the delectability of changes in the parameters of the fuzzy model. Simulation tests illustrate the method's credibility. (C) 2008 Elsevier B.V. All rights reserved.
fuzzy modelling local statistical approach fault detection and isolation detectability fisher information matrix