文献类型：期刊文献

英文题名：The Boundedness and the Global Mittag-Leffler Synchronization of Fractional-Order Inertial Cohen-Grossberg Neural Networks with Time Delays

作者：Li, Zhiying[1];Zhang, Yuehong[1]

机构：[1]Shaoxing Univ, Yuanpei Coll, Shaoxing 312000, Peoples R China

年份：2022

卷号：54

期号：1

起止页码：597

外文期刊名：NEURAL PROCESSING LETTERS

收录：SCI-EXPANDED(收录号：WOS:000705774000001)、、EI(收录号：20214110996849)、Scopus(收录号：2-s2.0-85116402056)、WOS

基金：This research was funded on Research Project of Shaoxing University Yuanpei College (No. KY2021C04), Research Project of Shaoxing University Yuanpei College (No. KY2020C01).

语种：英文

外文关键词：Fractional-order; Inertial Cohen-Grossberg neural networks; Boundedness; Global Mittag-Leffler synchronization

外文摘要：The boundedness and the global Mittag-Leffler synchronization (GMLS) of fractional-order inertial Cohen-Grossberg neural networks (CGNNS) with time delays are investigated in this paper. Based on the composition properties of Riemann-Liouville (RL) fractional-order calculus, proper variable substitutions and the differential mean-value theorem are used to get sufficient conditions for the boundedness and the GMLS of the systems. Furthermore, two numerical examples are simulated to verify the theorems.