Fixed-time synchronization of nonlinear coupled memristive neural networks with time delays via sliding-mode control

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.

Keywords

• coupled memristive neural networks
• nonlinear coupling
• fixed-time synchronization
• sliding-mode control