Synchronization of inertial memristive neural networks with time-varying delays via static or dynamic event-triggered control

Wei Yao, Chunhua Wang, Yichuang Sun, Chao Zhou, Hairong Lin

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)
22 Downloads (Pure)

Abstract

This paper investigates the synchronization problem of inertial memristive neural networks (IMNNs) with time-varying delays via event-triggered control (ETC) scheme and state feedback controller for the first time. First, two types of state feedback controllers are designed; the first type of controller is added to the transformational first-order system, and the second type of controller is added to the original second-order system. Next, based on each feedback controller, static event-triggered control (SETC) condition and dynamic event-triggered control (DETC) condition are presented to significantly reduce the update times of controller and decrease the computing cost. Then, some sufficient conditions are given such that synchronization of IMNNs with time-varying delays can be achieved under ETC schemes. Finally, a numerical simulation and some data analyses are given to verify the validity of the proposed results.

Original languageEnglish
Pages (from-to)367-380
Number of pages14
JournalNeurocomputing
Volume404
Early online date8 May 2020
DOIs
Publication statusPublished - 3 Sept 2020

Keywords

  • Event-triggered control
  • Inertial memristive neural networks
  • State feedback controllers
  • Synchronization

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