Neural fuzzy adaptive control for mobile smart objects

Neural fuzzy adaptive control for mobile smart objects

In this paper, we propose the neural fuzzy adaptive control system suited for mobile smart objects. The classification of hybrid neural networks based on fuzzy neuron models is presented. The hybrid adaptive system architecture consisting of triple neural networks is proposed. Fuzzifying process wit...

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Hauptverfasser: Butakova, Maria A., Chernov, Andrey V., Shevchuk, Petr S., Vereskun, Vladimir D.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Adaptive control
adaptive systems
Biological neural networks
Control systems
fuzzy control
Fuzzy systems
Intelligent control
neural networks
Neurons
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Beschreibung
Zusammenfassung:In this paper, we propose the neural fuzzy adaptive control system suited for mobile smart objects. The classification of hybrid neural networks based on fuzzy neuron models is presented. The hybrid adaptive system architecture consisting of triple neural networks is proposed. Fuzzifying process with rules database creation and fuzzy membership functions definitions are considered. Also learning experiments with proposed architecture have been implemented.
ISSN:2159-1423
DOI:10.1109/ISCE.2018.8408914