A Self-Reproduction Hyperchaotic Map With Compound Lattice Dynamics
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
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Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 10564-10572 |
| Journal / Publication | IEEE Transactions on Industrial Electronics |
| Volume | 69 |
| Issue number | 10 |
| Online published | 25 Jan 2022 |
| Publication status | Published - Oct 2022 |
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Abstract
In this paper, sinusoidal functions are introduced to a discrete map for hyperchaos generation and attractor self-reproduction. The constructed map shares a unique structure with controllable symmetry and conditional symmetry, which exhibits compound lattice dynamics, including 1-D and 2-D attractor growth. The direction of attractor growth can be controlled under polarity balance. STM32-based circuit realization verifies the results with numerical simulation and theoretical analysis. A pseudo-random number generator is built finally based on the newly proposed hyperchaotic map proving the high performance in application.
Research Area(s)
- Artificial intelligence, Attractor growth, attractor self-reproduction (ASR), Chaotic communication, Compounds, Eigenvalues and eigenfunctions, Generators, hyperchaotic map, lattice dynamics, Lattices, Trajectory
Citation Format(s)
A Self-Reproduction Hyperchaotic Map With Compound Lattice Dynamics. / Li, Yongxin; Li, Chunbiao; Zhang, Sen et al.
In: IEEE Transactions on Industrial Electronics, Vol. 69, No. 10, 10.2022, p. 10564-10572.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
