Fixed-time synchronization of nonlinear coupled memristive neural networks with time delays via sliding-mode control
ELECTRONIC RESEARCH ARCHIVE(2023)
摘要
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.
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关键词
coupled memristive neural networks,nonlinear coupling,fixed-time synchronization,sliding-mode control
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