Multiple finite-time synchronization of delayed inertial neural networks via a unified control scheme

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摘要

In this paper, a unified control framework is proposed to investigate the synchronization problem of inertial neural networks (INNs). Via the proposed framework, the finite-time, fixed-time and preassigned-time synchronization of INNs are realized. Firstly, by adopting a proper variable transformation, the reduced-order system and the error system of the drive and response INNs are obtained. Then, without designing synchronization controllers separately, the drive and response systems can be finite-/fixed-/preassigned-time synchronized and corresponding estimations of the settling time can be obtained by properly regulating the control parameters of the unified framework. Finally, the correctness of the derived theoretical results is proved by numerical simulations and an application example of image encryption.

论文关键词:A unified control framework,Finite-time synchronization,Fixed-time synchronization,Preassigned-time synchronization,Delayed inertial neural networks,Image encryption

论文评审过程:Received 26 August 2021, Revised 17 October 2021, Accepted 17 November 2021, Available online 30 November 2021, Version of Record 11 December 2021.

论文官网地址:https://doi.org/10.1016/j.knosys.2021.107785