Aperiodically Intermittent Control Synchronization of Coupled Complex-Valued Neural Networks

Yanli Huang*, Yuqing Jia, Tse Chiu Wong

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Abstract

In this paper, coupled complex-valued neural networks (CCVNNs) are considered. Two types of aperiodically intermittent control schemes are designed to ensure synchro-nization of CCVNNs with and without time-varying delays respectively. By utilizing some novel inequality techniques and Lyapunov stability theory, several intermittent synchronization criteria are established. Finally, a numerical example is given to demonstrate the effectiveness and correctness of the obtained theoretical results.
Original languageEnglish
Title of host publication2024 36th Chinese Control and Decision Conference (CCDC)
PublisherIEEE
Pages1329-1334
Number of pages6
ISBN (Electronic)979-8-3503-8778-0
ISBN (Print)979-8-3503-8777-3
DOIs
Publication statusPublished - 17 Jul 2024
Event2024 36th Chinese Control and Decision Conference (CCDC) - Xi'an, China
Duration: 25 May 202427 May 2024

Publication series

Name2024 36th Chinese Control and Decision Conference (CCDC)
PublisherIEEE
ISSN (Print)1948-9439
ISSN (Electronic)1948-9447

Conference

Conference2024 36th Chinese Control and Decision Conference (CCDC)
Country/TerritoryChina
CityXi'an
Period25/05/2427/05/24

Keywords

  • coupled complex-valued neural networks
  • , aperiodically intermittent control
  • synchronization

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