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Theory Article | Open Access

Projective synchronization for quaternion-valued memristor-based neural networks under time-varying delays

Jun Guo1,2( )Yanchao Shi3Yanzhao Cheng3Weihua Luo4
College of Applied Mathematics, Chengdu University of Information Technology, Chengdu 610225, China
Key Laboratory of Numerical Simulation of Sichuan Provincial Universities, School of Mathematics and Information Sciences, Neijiang Normal University, Neijiang 641000, China
School of Science, Southwest Petroleum University, Chengdu 610500, China
School of Mathematics and Physics, Hunan University of Arts and Science, Changde 415000, China
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Abstract

In this paper, the projective synchronization of quaternion-valued memristor-based neural networks with time-varing delays was studied. First, by utilizing set-valued map and differential inclusion theories, we reformulated the networks as an uncertain system with interval parameters. Then, through designing a novel controller and utilizing Lyapunov function and Young's inequality, several new synchronization conditions for projection synchronization of quaternion-valued memristor-based neural networks were obtained. Finally, the effectiveness of this method was demonstrated through a numerical example, underscoring its practical applicability.

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Networks and Heterogeneous Media
Pages 1156-1181

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Cite this article:
Guo J, Shi Y, Cheng Y, et al. Projective synchronization for quaternion-valued memristor-based neural networks under time-varying delays. Networks and Heterogeneous Media, 2024, 19(3): 1156-1181. https://doi.org/10.3934/nhm.2024051

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Received: 20 August 2024
Revised: 08 October 2024
Accepted: 12 October 2024
Published: 17 October 2024
©2024 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)