Abstract

Since the conservative chaotic system (CCS) has no general attractors, conservative chaotic flows are more suitable for the chaos-based secure communication than the chaotic attractors. In this paper, two Hamiltonian conservative chaotic systems (HCCSs) are constructed based on the 4D Euler equations and a proposed construction method. These two new systems are investigated by equilibrium points, dynamical evolution map, Hamilton energy, and Casimir energy. They look similar, but it is found that one can be explained using Casimir power and another cannot be explained in terms of the mechanism of chaos. Furthermore, a pseudorandom signal generator is developed based on these proposed systems, which are tested based on NIST tests and implemented by using the field programmable gate array (FPGA) technique.

Highlights

  • Many dissipative chaotic systems have been widely studied in the past decades

  • Luand Chen developed a new chaotic system named Lusystem in 2002, which bridged the gap between the Lorenz system and the Chen system [3]. e complex dynamical behaviors of chaotic systems have been gradually excavated

  • The dissipative chaotic system (DCS) has strange attractors, which can be reconstructed by using the delay embedding method [13]

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Summary

Introduction

Many dissipative chaotic systems have been widely studied in the past decades. Lorenz discovered the first chaos system named Lorenz system in 1963 [1]. E complex dynamical behaviors of chaotic systems have been gradually excavated Both conservative systems [4, 5] and dissipative systems [6,7,8] have some phenomena of transition from period to quasi-period and into chaos. We first select three linear functions and construct a four-dimensional system using the methods of Reference [17] It accords with the conservative four-dimensional Euler equations of Hamilton and Casimir function, but the four-dimensional system does not produce chaos. En, two linear terms are added based on the modified 4D Euler equations and a new constructive method.

Modeling HCCS
Equilibrium Point and Energy Analysis
Findings
C2 C3 C4 C5 C6 C7 C8 C9 C10 P-value P-value T Proportion

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