Detection of abrupt changes: theory and application
Detection of abrupt changes: theory and application
Early warning of slight changes in systems
Automatica (Journal of IFAC) - Special issue on statistical signal processing and control
Why triangular membership functions?
Fuzzy Sets and Systems
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
A course in fuzzy systems and control
A course in fuzzy systems and control
Information criteria for residual generation and fault detection and isolation
Automatica (Journal of IFAC)
Towards neuro-linguistic modeling: constraints for optimization of membership functions
Fuzzy Sets and Systems
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Incremental Least Squares Methods and the Extended Kalman Filter
SIAM Journal on Optimization
Sum normal optimization of fuzzy membership functions
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Training fuzzy systems with the extended Kalman filter
Fuzzy Sets and Systems - Fuzzy systems
Similarity measures in fuzzy rule base simplification
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An adaptive fuzzy neural network for MIMO system modelapproximation in high-dimensional spaces
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Simplifying fuzzy rule-based models using orthogonal transformationmethods
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A systematic neuro-fuzzy modeling framework with application tomaterial property prediction
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Checking the coherence and redundancy of fuzzy knowledge bases
IEEE Transactions on Fuzzy Systems
Automatica (Journal of IFAC)
On-board Component Fault Detection and Isolation Using the Statistical Local Approach
Automatica (Journal of IFAC)
Asymptotic statistical theory of overtraining and cross-validation
IEEE Transactions on Neural Networks
Cross-validation with active pattern selection for neural-network classifiers
IEEE Transactions on Neural Networks
Statistical active learning in multilayer perceptrons
IEEE Transactions on Neural Networks
SVD-NET: an algorithm that automatically selects network structure
IEEE Transactions on Neural Networks
Change a sequence into a fuzzy number
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications - Volume Part II
Distributed filtering over sensor networks for autonomous navigation of UAVs
Intelligent Service Robotics
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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.