2022
DOI: 10.1016/j.aeue.2022.154242
|View full text |Cite
|
Sign up to set email alerts
|

Modeling methods and characteristic analysis of new Hamiltonian and non-Hamiltonian conservative chaotic systems

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
7
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
9

Relationship

2
7

Authors

Journals

citations
Cited by 13 publications
(7 citation statements)
references
References 42 publications
0
7
0
Order By: Relevance
“…The double parameter Lyapunov exponent spectrum [33] can characterize the chaotic properties of a system. The double parameter Lyapunov exponent spectrum can observe the changes in the chaotic characteristics of a system under different parameters, with the horizontal and vertical axes representing two control parameters.…”
Section: The Double Parameter Lyapunov Exponentmentioning
confidence: 99%
“…The double parameter Lyapunov exponent spectrum [33] can characterize the chaotic properties of a system. The double parameter Lyapunov exponent spectrum can observe the changes in the chaotic characteristics of a system under different parameters, with the horizontal and vertical axes representing two control parameters.…”
Section: The Double Parameter Lyapunov Exponentmentioning
confidence: 99%
“…We build a conservative hyperchaotic system in four dimensions using an approach from the literature [26], the mathematical model of which is given by equation (1):…”
Section: Design Of Conservative Hyperchaotic System 21 Modeling Of 4d...mentioning
confidence: 99%
“…According to the method in [33], we propose a new three-dimensional chaotic system. The mathematical expression of this system is shown in Equation ( 1)…”
Section: Proposed 3d Chaotic Systemmentioning
confidence: 99%
“…In this study, the encrypted images underwent differential attack testing. The computation formulas for differential attack resistance are respectively shown in Equations ( 31)- (33).…”
Section: Adjacent Pixel Correlationmentioning
confidence: 99%