@article{Liu2026, 
author = {Wei Liu and Danning Xu and Qiuyang Zhang and Huawen Liu and Tao Jiang and Hui Pan},
title = {New finite-time and global Mittag-Leffler stability criteria for fractional-order inertial Cohen–Grossberg neural networks with S-type distributed delays},
year = {2026},
journal = {AIMS Mathematics},
volume = {11},
number = {7},
pages = {20915-20929},
keywords = {fractional-order, S-type distributed delays, Cohen-Grossberg neural networks, finite-time stability, global Mittag-Leffler stability},
url = {https://www.sciopen.com/article/10.3934/math.2026849},
doi = {10.3934/math.2026849},
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.}
}