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

  • Seungyong Han*
  • , Sangmoon Lee
  • , Ju H. Park
  • *Corresponding author for this work
  • Kyungpook National University
  • Yeungnam University

Research output: Contribution to conferenceConference paperpeer-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: 2022.05.42022.05.7

Publication series

NameASCC 2022 - 2022 13th Asian Control Conference, Proceedings

Conference

Conference13th Asian Control Conference, ASCC 2022
Country/TerritoryKorea, Republic of
CityJeju
Period22.05.422.05.7

Keywords

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

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