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

Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-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 202230 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
Period27/06/2230/06/22

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.

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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