Predefined-time synchronization of 5D Hindmarsh–Rose neuron networks via backstepping design and application in secure communication
Articles
Lixiong Lin
Jimei University
https://orcid.org/0000-0002-9829-5358
Published 2022-04-13
https://doi.org/10.15388/namc.2022.27.26557
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Keywords

5D Hindmarsh–Rose neuron networks
predefined-time stability
complete beta function
secure communication

How to Cite

Lin, L. (2022) “Predefined-time synchronization of 5D Hindmarsh–Rose neuron networks via backstepping design and application in secure communication”, Nonlinear Analysis: Modelling and Control, 27(4), pp. 630–649. doi:10.15388/namc.2022.27.26557.

Abstract

In this paper, the fast synchronization problem of 5D Hindmarsh–Rose neuron networks is studied. Firstly, the global predefined-time stability of a class of nonlinear dynamical systems is investigated under the complete beta function. Then an active controller via backstepping design is proposed to achieve predefined-time synchronization of two 5D Hindmarsh–Rose neuron networks in which the synchronization time of each state variable of the master-slave 5D Hindmarsh–Rose neuron networks is different and can be defined in advance, respectively. To show the applicability of the obtained theoretical results, the designed predefined-time backstepping controller is applied to secure communication to realize asynchronous communication of multiple different messages. Three numerical simulations are provided to validate the theoretical results.

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