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Published in: Cognitive Neurodynamics 5/2019

28-06-2019 | Research Article

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

Authors: Ruoyu Wei, Jinde Cao

Published in: Cognitive Neurodynamics | Issue 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.

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Metadata
Title
Synchronization control of quaternion-valued memristive neural networks with and without event-triggered scheme
Authors
Ruoyu Wei
Jinde Cao
Publication date
28-06-2019
Publisher
Springer Netherlands
Published in
Cognitive Neurodynamics / Issue 5/2019
Print ISSN: 1871-4080
Electronic ISSN: 1871-4099
DOI
https://doi.org/10.1007/s11571-019-09545-w

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