Parameters identification and dual synchronization between different chaotic and hyperchaotic systems

A. Othman Almatroud, Mohd. Salmi Md. Noorani, M. Mossa Al-Sawalha

Research output: Contribution to journalArticle

Abstract

This paper investigates the adaptive dual synchronization of completely different four chaotic and hyperchaotic systems with unknown parameters. Based on the Lyapunov stability theory, an efficient adaptive synchronization controller is constructed that converges the synchronization error signals to the origin with sufficient transient speed. Suitable adaptive laws of unknown parameters are designed that converged the estimated values of the unknown parameters to the true values of the systems parameters. Two numerical examples are presented and simulation results are derived to illustrate the effectiveness of the proposed dual synchronization approach.

Original languageEnglish
Pages (from-to)398-410
Number of pages13
JournalJournal of Mathematics and Computer Science
Volume18
Issue number4
DOIs
Publication statusPublished - 1 Jan 2018

Fingerprint

Hyperchaotic System
Parameter Identification
Unknown Parameters
Chaotic System
Identification (control systems)
Synchronization
Adaptive Synchronization
Lyapunov Stability Theory
Sufficient
Converge
Controller
Numerical Examples
Controllers
Simulation

Keywords

  • Adaptive control
  • Chaos
  • Dual synchronization
  • Lyapunov stability theory
  • Unknown parameters

ASJC Scopus subject areas

  • Mathematics(all)
  • Computational Mathematics
  • Computer Science Applications
  • Computational Mechanics

Cite this

Parameters identification and dual synchronization between different chaotic and hyperchaotic systems. / Othman Almatroud, A.; Md. Noorani, Mohd. Salmi; Mossa Al-Sawalha, M.

In: Journal of Mathematics and Computer Science, Vol. 18, No. 4, 01.01.2018, p. 398-410.

Research output: Contribution to journalArticle

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