4.4 Article

Self-reproducing dynamics in a two-dimensional discrete map

期刊

EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS
卷 230, 期 7-8, 页码 1959-1970

出版社

SPRINGER HEIDELBERG
DOI: 10.1140/epjs/s11734-021-00182-1

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资金

  1. Hunan Provincial Natural Science Foundation of China [2019JJ40109, 2020JJ4337]
  2. Research Foundation of Education Bureau of Hunan Province of China [18A314]
  3. Science and Technology Program of Hunan Province [2019TP1014]
  4. Science and Research Creative Team of Hunan Institute of Science and Technology [2019-TD10]
  5. Natural Science Foundation of China [61901530]
  6. Hunan Institute of Science and Technology [YCX2020A336]

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This paper investigates the self-reproducing dynamics in discrete-time system by constructing a two-dimensional map with infinitely many fixed points. Theoretical analysis and numerical simulations confirm that the attractor of the map can be non-destructively reproduced by initial values and parameters along all axis directions. Experimental measurements on a DSP-based platform validate the self-reproducing behavior of different types of attractors.
This paper mainly explores the self-reproducing dynamics in discrete-time system by constructing a two-dimension map with infinitely many fixed points. Theoretical analysis shows that the attractor of the map can not only be non-destructively reproduced by the initial values of all state variables along all axis directions, but can also be non-destructively reproduced by the parameter along all axis directions. The numerical simulations of bifurcation diagram, Lyapunov exponent, phase portrait and iterative sequence are carried out to further confirm the theoretical results. The self-reproducing behavior of different type of attractors and the corresponding iterative sequences are also confirmed by the experimental measurements performed on the DSP-based platform. This map is especially suitable for chaos-based engineering applications since the offset can be periodically switched by the initial condition and parameter on the premise of keeping robust dynamical behavior.

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