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Neural Processing Letters
Erschienen in: Neural Processing Letters 1/2018

31.05.2017

Power-Rate Synchronization of Fractional-Order Nonautonomous Neural Networks with Heterogeneous Proportional Delays

verfasst von: C. T. Kinh, L. V. Hien, T. D. Ke

Erschienen in: Neural Processing Letters | Ausgabe 1/2018

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Abstract

This paper is concerned with the problem of global power-rate synchronization of fractional-order nonautonomous neural networks with heterogeneous proportional delays. By utilizing the Leibniz rule for fractional differentiation and an extended comparison technique, delay-dependent conditions are derived to ensure that the considered fractional-order neural network model is globally synchronous with a power decaying rate. Two examples with numerical simulations are given to demonstrate the effectiveness of the obtained results.
Vorheriger Artikel LSTM: Multi-Label Ranking for Document Classification
Nächster Artikel Stability Analysis of Impulsive Neural Networks with Piecewise Constant Arguments

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Metadaten
Titel
Power-Rate Synchronization of Fractional-Order Nonautonomous Neural Networks with Heterogeneous Proportional Delays
verfasst von
C. T. Kinh
L. V. Hien
T. D. Ke
Publikationsdatum
31.05.2017
Verlag
Springer US
Erschienen in
Neural Processing Letters / Ausgabe 1/2018
Print ISSN: 1370-4621
Elektronische ISSN: 1573-773X
DOI
https://doi.org/10.1007/s11063-017-9637-z

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