Novelty Detection for Iterative Learning of MIMO Fuzzy Systems

Jorge S. S. Júnior,Jérôme Mendes,Rui Araújo,João Ruivo Paulo,Cristiano Premebida

2021 IEEE 19th International Conference on Industrial Informatics (INDIN)（2021）

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摘要

This paper proposes a methodology for iterative learning of multi-input multi-output (MIMO) fuzzy models focusing on dynamic system identification. The first step of the proposed method is the learning of the antecedent part of the fuzzy system, which is learned iteratively, where fuzzy rules can be added or merged based on the presented novelty detection and similarity criteria defined by a recur...

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关键词

Heuristic algorithms,Clustering algorithms,Feature extraction,Unmanned aerial vehicles,Data models,Nonlinear dynamical systems,Iterative methods

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