Finite-time Synchronization of Fractional-Order Lorenz-Stenflo Hyper-Chaotic Systems

This study investigates a type of Lorenz-Stenflo chaotic system with complex dynamic behavior. Firstly, a sliding mode control protocol based on power reaching rate is designed to realize the finite time synchronization control problem of the system. Secondly, based on lyapunov stability theory, relevant theories of fractional calculus and finite time stability theory, a synchronization controller for chaotic systems is designed, sufficient conditions for global finite time synchronization are derived, and a mathematical proof process is given to verify the stability of the system. Finally, the validity and feasibility is fully verified by numerical simulation result.

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Published
2024-10-11
DOI
https://doi.org/10.1109/cbase64041.2024.10824440
Primary Topic
Chaos control and synchronization
Type
article
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article

Finite-time Synchronization of Fractional-Order Lorenz-Stenflo Hyper-Chaotic Systems

Xiaoshan Zhao, Yang Zhao
Chaos control and synchronization
article

Finite-time Synchronization of Fractional-Order Lorenz-Stenflo Hyper-Chaotic Systems

Xiaoshan Zhao, Yang Zhao
article en

Abstract

This study investigates a type of Lorenz-Stenflo chaotic system with complex dynamic behavior. Firstly, a sliding mode control protocol based on power reaching rate is designed to realize the finite time synchronization control problem of the system. Secondly, based on lyapunov stability theory, relevant theories of fractional calculus and finite time stability theory, a synchronization controller for chaotic systems is designed, sufficient conditions for global finite time synchronization are derived, and a mathematical proof process is given to verify the stability of the system. Finally, the validity and feasibility is fully verified by numerical simulation result.

Tianjin University of Technology and Education (CN)
Openalex Percentile: Top 76%
Chaos control and synchronization
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Finite-time Synchronization of Fractional-Order Lorenz-Stenflo Hyper-Chaotic Systems — Xiaoshan Zhao, Yang Zhao · (2024) | TGRS Research Map | TGRS