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Cognitive Neurodynamics
Erschienen in: Cognitive Neurodynamics 5/2019

28.06.2019 | Research Article

Synchronization control of quaternion-valued memristive neural networks with and without event-triggered scheme

verfasst von: Ruoyu Wei, Jinde Cao

Erschienen in: Cognitive Neurodynamics | Ausgabe 5/2019

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Abstract

In this paper, the real-valued memristive neural networks (MNNs) are extended to quaternion field, a new class of neural networks named quaternion-valued memristive neural networks (QVMNNs) is then established. The problem of master-slave synchronization of this type of networks is investigated in this paper. Two types of controllers are designed: the traditional feedback controller and the event-triggered controller. Corresponding synchronization criteria are then derived based on Lyapunov method. Moreover, it is demonstrated that Zeno behavior can be avoided in case of the event-triggered strategy proposed in this work. Finally, corresponding simulation examples are proposed to demonstrate the correctness of the proposed results derived in this work.
Vorheriger Artikel Adaptive sparse coding based on memristive neural network with applications

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Metadaten
Titel
Synchronization control of quaternion-valued memristive neural networks with and without event-triggered scheme
verfasst von
Ruoyu Wei
Jinde Cao
Publikationsdatum
28.06.2019
Verlag
Springer Netherlands
Erschienen in
Cognitive Neurodynamics / Ausgabe 5/2019
Print ISSN: 1871-4080
Elektronische ISSN: 1871-4099
DOI
https://doi.org/10.1007/s11571-019-09545-w

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