@article{Geng2023, 
author = {Xingting Geng and Jianwen Feng and Yi Zhao and Na Li and Jingyi Wang},
title = {Fixed-time synchronization of nonlinear coupled memristive neural networks with time delays via sliding-mode control},
year = {2023},
journal = {Electronic Research Archive},
volume = {31},
number = {6},
pages = {3291-3308},
keywords = {coupled memristive neural networks, nonlinear coupling, fixed-time synchronization, sliding-mode control},
url = {https://www.sciopen.com/article/10.3934/era.2023166},
doi = {10.3934/era.2023166},
abstract = {This article focuses on achieving fixed-time synchronization (FxTS) of nonlinear coupled memristive neural networks (NCMMN) with time delays. We propose a novel integrable sliding-mode manifold (SMM) and develop two control strategies (chattering or non-chattering) to achieve FxTS. By selecting appropriate parameters, some criteria are established to force the dynamics of NCMMN to reach the designed SMM within a fixed time and remain on it thereafter. Additionally, they provide estimations for the settling time (TST). the validity of our results is demonstrated through several numerical examples.}
}