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所属单位：航空学院

发表刊物：Neural Process Letters

摘要：This paper is concerned with the global Mittag-Leffler synchronization schemes for the Caputo type fractional-order BAM neural networks with multiple time-varying delays and impulsive effects. Based on the delayed-feedback control strategy and Lyapunov functional approach, the sufficient conditions are established to ensure the global Mittag-Leffler synchronization, which are described as the algebraic inequalities associated with the network parameters. The control gain constants can be searched in a wider range following the proposed synchronization conditions. The obtained results are more general and less conservative. A numerical example is also presented to illustrate the feasibility and effectiveness of the theoretical results based on the modified predictor–corrector algorithm. © 2018, Springer Science+Business Media, LLC, part of Springer Nature.

ISSN号：1370-4621

是否译文：否

发表时间：2019-02-15

合写作者：Ye, Renyu,Zhang, Hai,Cao, Jinde

通讯作者：刘心声