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Research Article | Open Access

Finite-time and global Mittag-Leffler stability of fractional-order neural networks with S-type distributed delays

Wei Liu1,2Qinghua Zuo2Chen Xu1( )
Department of Mathematics, Shaoxing University Yuanpei College, Qunxian Road 2799#, Shaoxing, 312000, Zhejiang, China
Department of Mathematics, Shaoxing University, Chengnan Ave 990#, Shaoxing, 312000, Zhejiang, China
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Abstract

This paper was mainly concerned with the stability analysis of a class of fractional-order neural networks with S-type distributed delays. By using the properties of Riemann-Liouville fractional-order derivatives and integrals, along with the additivity of integration intervals and initial conditions, fractional-order integrals of the state function with S-type distributed delays were transformed into fractional-order integrals of the state function without S-type distributed delays. By virtue of the theory of contractive mapping and the Bellman-Gronwall inequality, the sufficient conditions for finite-time stability and global Mittag-Leffler stability were obtained when certain conditions were satisfied. Moreover, the correctness and realizability of the conclusion were verified through the presentation of two illustrative numerical simulation examples.

CLC number: 92B20, 34K20

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AIMS Mathematics
Pages 8339-8352

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Cite this article:
Liu W, Zuo Q, Xu C. Finite-time and global Mittag-Leffler stability of fractional-order neural networks with S-type distributed delays. AIMS Mathematics, 2024, 9(4): 8339-8352. https://doi.org/10.3934/math.2024405

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Received: 29 December 2023
Revised: 20 February 2024
Accepted: 21 February 2024
Published: 15 April 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)