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Neural Processing Letters
Erschienen in: Neural Processing Letters 2/2020

09.01.2020

Finite-Time Synchronization of Coupled Inertial Memristive Neural Networks with Mixed Delays via Nonlinear Feedback Control

verfasst von: Cuiping Yang, Zuoliang Xiong, Tianqing Yang

Erschienen in: Neural Processing Letters | Ausgabe 2/2020

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Abstract

The finite-time synchronization of coupled inertial memristive neural networks (IMNNs) systems is discussed in this paper. Firstly, a mathematical model of IMNNs with time-varying delays is given, then the original system is transformed into a first-order differential equation by selecting a suitable variable substitution. Secondly, by using two different controllers and the definition of the upper right-hand derivative, it can be guaranteed that finite-time and fixed-time synchronization between response system and drive system based on finite time stability and fixed time theory. Finally, two numerical simulations are given to illustrate the effectiveness of the main results.
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Metadaten
Titel
Finite-Time Synchronization of Coupled Inertial Memristive Neural Networks with Mixed Delays via Nonlinear Feedback Control
verfasst von
Cuiping Yang
Zuoliang Xiong
Tianqing Yang
Publikationsdatum
09.01.2020
Verlag
Springer US
Erschienen in
Neural Processing Letters / Ausgabe 2/2020
Print ISSN: 1370-4621
Elektronische ISSN: 1573-773X
DOI
https://doi.org/10.1007/s11063-019-10180-z

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