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Modeling and analysis of dynamics for a 3D mixed Lorenz system with a damped term

  • Xianyi Li EMAIL logo and Umirzakov Mirjalol

Abstract

The work in this paper consists of two parts. The one is modelling. After a method of classification for three dimensional (3D) autonomous chaotic systems and a concept of mixed Lorenz system are introduced, a mixed Lorenz system with a damped term is presented. The other is the analysis for dynamical properties of this model. First, its local stability and bifurcation in its parameter space are in detail considered. Then, the existence of its homoclinic and heteroclinic orbits, and the existence of singularly degenerate heteroclinic cycles, are studied by rigorous theoretical analysis. Finally, by using the Poincaré compactification for polynomial vector fields in R 3 , a global analysis of this system near and at infinity is presented, including the complete description of its dynamics on the sphere near and at infinity. Simulations corroborate corresponding theoretical results. In particular, a possibly new mechanism for the creation of chaotic attractors is proposed. Some different structure types of chaotic attractors are correspondingly and numerically found.


Corresponding author: Xianyi Li, Department of Big Data Science, Zhejiang University of Science and Technology, Hangzhou, Zhejiang, 310023, PR China, E-mail:

Funding source: NSF of China

Award Identifier / Grant number: 61473340

Funding source: NSF of Zhejiang University of Science and Technology

Award Identifier / Grant number: F701108G14

Funding source: Distinguished Professor Foundation of Qianjiang Scholar in Zhejiang Province

Acknowledgments

This work is partly supported by NSF of China (grant: 61473340), NSF of Zhejiang University of Science and Technology (grant: F701108G14) and Distinguished Professor Foundation of Qianjiang Scholar in Zhejiang Province.

  1. Author contribution: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: NSF of China (grant: 61473340), NSF of Zhejiang University of Science and Technology (grant: F701108G14) and Distinguished Professor Foundation of Qianjiang Scholar in Zhejiang Province.

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

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Received: 2019-04-25
Accepted: 2020-02-26
Published Online: 2020-07-06
Published in Print: 2021-04-27

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