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Research Article | Open Access

New finite-time and global Mittag-Leffler stability criteria for fractional-order inertial Cohen–Grossberg neural networks with S-type distributed delays

Wei Liu1, Danning Xu1, Qiuyang Zhang2, Huawen Liu1, Tao Jiang1, Hui Pan1( )
School of Artificial Intelligence, Shaoxing Institute of Technology, Qunxian Middle Rd. 2799, Shaoxing 312000, China
School of Mathematical Sciences, Zhejiang University, Yuhangtang Rd. 866, Hangzhou 310058, China
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Abstract

This paper studied the finite-time stability (FTS) and global Mittag-Leffler stability (GMLS) of a class of fractional inertial Cohen-Grossberg neural networks (FICGNNs) with S-type distributed delays. A unified modeling framework based on Lebesgue-Stieltjes integrals was adopted to encompass both discrete and continuously distributed delays. By establishing transformation between the fractional-order integrals of the state function with and without S-type distributed delays, new criteria for the corresponding FTS and GMLS were rigorously derived under appropriate assumptions. The theoretical results were further verified through numerical simulations.

CLC number: 34K20, 92B20

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AIMS Mathematics
Pages 20915-20929

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Cite this article:
Liu W, Xu D, Zhang Q, et al. New finite-time and global Mittag-Leffler stability criteria for fractional-order inertial Cohen–Grossberg neural networks with S-type distributed delays. AIMS Mathematics, 2026, 11(7): 20915-20929. https://doi.org/10.3934/math.2026849

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Received: 29 March 2026
Revised: 09 June 2026
Accepted: 18 June 2026
Published: 15 July 2026
©2026 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)