Fuzzy Modeling and Control of Operator Functional State in a Unified Framework of Fuzzy Inference Petri Nets

Fuzzy Modeling and Control of Operator Functional State in a Unified Framework of Fuzzy Inference Petri Nets

Highlights • A new fuzzy inference Petri net (FIPN) method is proposed for modeling and control of hybrid human-machine systems. • A multi-model approach is developed for operator functional state (OFS) prediction using EEG data. • Multiple fuzzy models are represented in a unified framework of FIPN...

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Veröffentlicht in:Computer methods and programs in biomedicine 2017
Hauptverfasser: Zhang, Jian-Hua, Xia, Jia-Jun, Garibaldi, Jonathan M, Groumpos, Petros P, Wang, Ru-Bin
Format: Artikel
Sprache:eng
Schlagworte:
Internal Medicine
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Zusammenfassung:Highlights • A new fuzzy inference Petri net (FIPN) method is proposed for modeling and control of hybrid human-machine systems. • A multi-model approach is developed for operator functional state (OFS) prediction using EEG data. • Multiple fuzzy models are represented in a unified framework of FIPN. • The simulation results verified the feasibility and effectiveness of the proposed FIPN method.
ISSN:0169-2607
DOI:10.1016/j.cmpb.2017.03.016