Predefined-Time Synchronization of Coupled Different Dimensional Neural Networks

Yanli Huang, Yaxin Gao, Xusong Li, Tse Chiu Wong

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

Abstract

This paper aims to study the predefined-time synchronization of coupled different dimensional neural networks (CDDNNs). Firstly, by designing appropriate controller and Lyapunov functional, a sufficient condition for the predefined-time synchronization for the CDDNNs without time-varying delays is established. Secondly, we derive a predefined-time synchronization criterion for CDDNNs with time-varying delays by constructing another novel controller and using some inequality techniques. Finally, the accuracy of the synchronization conditions is verified by an example with MATLAB simulation results.
Original languageEnglish
Title of host publication2024 36th Chinese Control and Decision Conference (CCDC)
PublisherIEEE
Pages1864-1869
Number of pages6
ISBN (Electronic)979-8-3503-8778-0
ISBN (Print)979-8-3503-8779-7
DOIs
Publication statusPublished - 17 Jul 2024

Publication series

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

Keywords

  • predefined-time synchronization
  • coupled neural networks
  • different dimensional neural networks
  • Lyapunov functional

Fingerprint

Dive into the research topics of 'Predefined-Time Synchronization of Coupled Different Dimensional Neural Networks'. Together they form a unique fingerprint.

Cite this