Generation of a Multiwing Hyperchaotic System With a Line Equilibrium and Its Control

Abstract This paper presents the development of a new hyperchaotic system, created by the extension of the established Lü system to the four-dimension. The complex dynamics of this new system are explored through both theoretical analysis and numerical simulations. The study focuses on the system’s dynamic behavior, equilibrium points, Lyapunov exponents, and Poincaré sections, as well as bifurcation diagrams and coexisting attractors to thoroughly characterize its properties. Moreover, two main methods were investigated to control the hyperchaos: linear feedback control and adaptive control. These approaches aim to stabilize the hyperchaotic system at unstable equilibrium points, even when system parameters are either known or unknown. Numerical simulations are performed to illustrate the effectiveness of the proposed controllers.

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Publication Details

Journal
Journal of Computational and Nonlinear Dynamics
Published
2025-02-10
DOI
https://doi.org/10.1115/1.4067860
Citations
1
Primary Topic
Chaos control and synchronization
Type
article
Field-Weighted Citation Impact
1.32
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article

Generation of a Multiwing Hyperchaotic System With a Line Equilibrium and Its Control

Tarek Houmor, Manal Mechekef, Lotfi Meddour
1 citations
Journal of Computational and Nonlinear Dynamics
Chaos control and synchronization
1.32
article

Generation of a Multiwing Hyperchaotic System With a Line Equilibrium and Its Control

Tarek Houmor, Manal Mechekef, Lotfi Meddour
article en
1 citations

Abstract

Abstract This paper presents the development of a new hyperchaotic system, created by the extension of the established Lü system to the four-dimension. The complex dynamics of this new system are explored through both theoretical analysis and numerical simulations. The study focuses on the system’s dynamic behavior, equilibrium points, Lyapunov exponents, and Poincaré sections, as well as bifurcation diagrams and coexisting attractors to thoroughly characterize its properties. Moreover, two main methods were investigated to control the hyperchaos: linear feedback control and adaptive control. These approaches aim to stabilize the hyperchaotic system at unstable equilibrium points, even when system parameters are either known or unknown. Numerical simulations are performed to illustrate the effectiveness of the proposed controllers.

Journal of Computational and Nonlinear DynamicsVol. 20(4)
University Frères Mentouri Constantine 1 (DZ), Université Constantine 2 (DZ), University of Constantine 3 (DZ)
Openalex Percentile: Top 22%
Chaos control and synchronization
1.32
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