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Research Article | Open Access

Finite-/fixed-time synchronization of leakage and discrete delayed Hopfield neural networks with diffusion effects

Minglei FangJinzhi LiuWei Wang( )
School of Mathematics and Big Data, Anhui University of Science and Technology, Huainan 232001, China
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Abstract

In this paper, the problem on finite-/fixed-time synchronization (FFTS) is investigated for a class of diffusive Hopfield neural networks with leakage and discrete delays. Some new and useful criteria independent on time delays but dependent on the diffusion coefficients are established to guarantee the FFTS for the addressed network model under a unified framework. In sharp contrast to the existed results which can only finite-timely or fixed-timely synchronize the systems with both diffusion effects and leakage delays, the theoretical results of this paper are more general and practical. Finally, a numerical example is presented to show the effectiveness of the proposed control methods.

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Electronic Research Archive
Pages 4088-4101

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Cite this article:
Fang M, Liu J, Wang W. Finite-/fixed-time synchronization of leakage and discrete delayed Hopfield neural networks with diffusion effects. Electronic Research Archive, 2023, 31(7): 4088-4101. https://doi.org/10.3934/era.2023208

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Received: 03 March 2023
Revised: 06 May 2023
Accepted: 08 May 2023
Published: 15 July 2023
©2023 the Author(s), licensee AIMS Press.

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