A Self-Reproduction Hyperchaotic Map With Compound Lattice Dynamics

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Original languageEnglish
Journal / PublicationIEEE Transactions on Industrial Electronics
Publication statusOnline published - 25 Jan 2022


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 selfreproduction, Chaotic communication, Compounds, Eigenvalues and eigenfunctions, Generators, hyperchaotic map, lattice dynamics, Lattices, Trajectory