Event-Triggered Controller for Synchronization of Chaotic Neural Networks using Clock-Dependent Lyapunov Functionals

Seungyong Han, Sangmoon Lee, Ju H. Park

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, the event-triggered controller design method for the synchronization of chaotic neural networks (CNNs) is proposed by using clock-dependent Lyapunov functionals (CLF). The aim of this study is to propose the criterion for the event-triggered controller design which synchronizes two identical CNNs by using the sum of squares (SOS) programs. The synchronization criterion based on the event-triggered mechanism (ETM) is derived by using CLF which is a polynomial with respect to the piecewise-continuous delay defined as a clock. The derived condition is formulated as the SOS programs to obtain feasible solutions. The effectiveness of the proposed method is verified via the numerical simulation of the CNN.

Original languageEnglish
Title of host publicationASCC 2022 - 2022 13th Asian Control Conference, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages536-541
Number of pages6
ISBN (Electronic)9788993215236
DOIs
StatePublished - 2022
Event13th Asian Control Conference, ASCC 2022 - Jeju, Korea, Republic of
Duration: 4 May 20227 May 2022

Publication series

NameASCC 2022 - 2022 13th Asian Control Conference, Proceedings

Conference

Conference13th Asian Control Conference, ASCC 2022
Country/TerritoryKorea, Republic of
CityJeju
Period4/05/227/05/22

Keywords

  • Event-triggered controller
  • chaotic neural networks
  • clock-dependent Lyapunov functionals
  • sum of squares
  • synchronization

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