JOURNAL ARTICLE

Analysis and Control of Fractional Order Generalized Lorenz Chaotic System by Using Finite Time Synchronization

Yan CuiHongjun HeGuan SunChenhui Lu

Year: 2019 Journal:   Advances in Mathematical Physics Vol: 2019 Pages: 1-12   Publisher: Hindawi Publishing Corporation

Abstract

In this paper, we present a corresponding fractional order three-dimensional autonomous chaotic system based on a new class of integer order chaotic systems. We found that the fractional order chaotic system belongs to the generalized Lorenz system family by analyzing its linear term and topological structure. We also found that the equilibrium point generated by the fractional order system belongs to the unstable saddle point through the prediction correction method and the fractional order stability theory. The complexity of fractional order chaotic system is given by spectral entropy algorithm andC0algorithm. We concluded that the fractional order chaotic system has a higher complexity. The fractional order system can generate rich dynamic behavior phenomenon with the values of the parameters and the order changed. We applied the finite time stability theory to design the finite time synchronous controller between drive system and corresponding system. The numerical simulations demonstrate that the controller provides fast and efficient method in the synchronization process.

Keywords:
Fractional-order system Lorenz system Chaotic Computer science Algorithm Synchronization (alternating current) Stability (learning theory) Saddle point Fractional calculus Equilibrium point Order (exchange) Stability theory Applied mathematics Mathematics Mathematical analysis Topology (electrical circuits) Physics Artificial intelligence Differential equation Machine learning Geometry Nonlinear system Combinatorics Quantum mechanics

Metrics

7
Cited By
0.31
FWCI (Field Weighted Citation Impact)
27
Refs
0.53
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Chaos control and synchronization
Physical Sciences →  Physics and Astronomy →  Statistical and Nonlinear Physics
Nonlinear Dynamics and Pattern Formation
Physical Sciences →  Computer Science →  Computer Networks and Communications
Neural Networks Stability and Synchronization
Physical Sciences →  Computer Science →  Computer Networks and Communications
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