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Power-rate synchronization of fractional-order nonautonomous neural networks with heterogeneous proportional delays

journal contribution
posted on 2018-02-01, 00:00 authored by C T Kinh, Hien Le, T D Ke
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.

History

Journal

Neural processing letters

Volume

47

Issue

1

Pagination

139 - 151

Publisher

Springer

Location

New York, N.Y.

ISSN

1370-4621

eISSN

1573-773X

Language

eng

Publication classification

C Journal article; C1.1 Refereed article in a scholarly journal

Copyright notice

2017, Springer Science+Business Media New York.

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