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Two-Neuron Inhibitory Loops vs. Coupled Different-order Chaotic Systems: Generalized Synchronization via Adaptive Control : In loving memory of late Prof. Si-Ying Zhang, Academician of the Chinese Academy of Sciences

  • Georgi Dimirovski
  • , Yuanwei Jing
  • , Peng Shi
  • , Kevin Warwick
    • Ss Cyril and Methodius University
    • University of Adelaide
    • University of Reading
    • Northeastern University

    Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

    Abstract

    The generalized synchronization of differentorder chaotic systems with completely unknown parameters is studied and found to possess considerable parallels with two-neuron inhibitory loops. A compound set of adaptive controller and parameter-update law is designed that enforces achieving the generalized synchronization of chaotic or hyper-chaotic systems with different order dynamics via the Lyapunov stability theory. The proposed design does not need either reduced order or increased order dynamics for the drive system. This systematic technique is tested by means of computer simulations, the representative results of which are given to demonstrate both the effectiveness and feasibility of the proposed scheme.

    Original languageEnglish
    Title of host publication2022 IEEE 17th International Conference on Control and Automation, ICCA 2022
    PublisherIEEE Computer Society
    Pages980-985
    Number of pages6
    ISBN (Electronic)9781665495721
    ISBN (Print)9781665495738, :9781665495714
    DOIs
    Publication statusPublished - 25 Jul 2022
    Event17th IEEE International Conference on Control and Automation, ICCA 2022 - Naples, Italy
    Duration: 27 Jun 2022 → 30 Jun 2022

    Publication series

    NameIEEE International Conference on Control and Automation, ICCA
    Volume2022-June
    ISSN (Print)1948-3449
    ISSN (Electronic)1948-3457

    Conference

    Conference17th IEEE International Conference on Control and Automation, ICCA 2022
    Country/TerritoryItaly
    CityNaples
    Period27/06/22 → 30/06/22

    Bibliographical note

    Funding Information:
    *This research was supported in part by National Natural Science Foundation of P.R. China (grant 602740009) and Specialized Research Fund for the Doctoral Program of Higher Education (grant 20020145007) as well as by Fund for Science of Doctoral School FEIT in Skopje.

    Publisher Copyright:
    © 2022 IEEE.

    Funding

    *This research was supported in part by National Natural Science Foundation of P.R. China (grant 602740009) and Specialized Research Fund for the Doctoral Program of Higher Education (grant 20020145007) as well as by Fund for Science of Doctoral School FEIT in Skopje.

    FundersFunder number
    Faculty of Electrical Engineering & Information Technologies
    National Natural Science Foundation of China602740009
    Specialized Research Fund for the Doctoral Program of Higher Education of China20020145007

      ASJC Scopus subject areas

      • Artificial Intelligence
      • Computer Science Applications
      • Control and Systems Engineering
      • Electrical and Electronic Engineering
      • Industrial and Manufacturing Engineering

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