2019
DOI: 10.1109/access.2019.2960378
|View full text |Cite
|
Sign up to set email alerts
|

Testing Deterministic Chaos: Incorrect Results of the 0–1 Test and How to Avoid Them

Abstract: The 'false-negative' and 'false-positive' outcomes of the 0-1 test for chaos in continuous dynamical systems are described and analyzed in this paper. First, typical false outcomes of the 0-1 test for chaos are illustrated through several numerical examples of the solutions of chaotic continuous systems. Those examples are based on computation of the K values in the 0-1 test (0 ≤ K ≤ 1) for a selection of two parameters, namely the dt, output step in the numerical solver, and the T value (integer denoting the … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
13
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
7

Relationship

2
5

Authors

Journals

citations
Cited by 12 publications
(15 citation statements)
references
References 20 publications
0
13
0
Order By: Relevance
“…The test has been applied in engineering, physics, chemistry, biology, weather prediction, stock exchange analysis and other areas. Several problems of using the test have been reported [11]- [14]. Those problems are mainly due to the oversampling issue and difficulty in selecting parameters, such as the length of the time interval, t f , in 0 ≤ t ≤ t f , the output sampling step, dt, and another parameter T , an integer used in the downsampling process, see [10], [13], [14].…”
Section: One-parameter 0-1 Test For Chaos and Sample Entropy Diagramsmentioning
confidence: 99%
See 1 more Smart Citation
“…The test has been applied in engineering, physics, chemistry, biology, weather prediction, stock exchange analysis and other areas. Several problems of using the test have been reported [11]- [14]. Those problems are mainly due to the oversampling issue and difficulty in selecting parameters, such as the length of the time interval, t f , in 0 ≤ t ≤ t f , the output sampling step, dt, and another parameter T , an integer used in the downsampling process, see [10], [13], [14].…”
Section: One-parameter 0-1 Test For Chaos and Sample Entropy Diagramsmentioning
confidence: 99%
“…Several problems of using the test have been reported [11]- [14]. Those problems are mainly due to the oversampling issue and difficulty in selecting parameters, such as the length of the time interval, t f , in 0 ≤ t ≤ t f , the output sampling step, dt, and another parameter T , an integer used in the downsampling process, see [10], [13], [14]. On the other hand, the entropy concept, and the sample entropy in particular [15]- [17], is used mainly in physics and medicine (physiology, cardiology and enzymology) and to a lesser extend in engineering.…”
Section: One-parameter 0-1 Test For Chaos and Sample Entropy Diagramsmentioning
confidence: 99%
“…It is certainly possible to compute the two-parameter diagrams for Lyapunov exponents [ 22 ], stability domains [ 23 ], Poincaré return maps [ 24 ], entropy [ 25 ] and the 0–1 test for chaos [ 26 ]. The later two-parameter diagrams for the electric circuits, Lorenz and Rössler chaotic systems, are presented in [ 20 , 27 , 28 ].…”
Section: Two-parameter Frequency Distribution Diagramsmentioning
confidence: 99%
“…The diagrams in Figure 3 a and Figure 4 a are compared with the sample entropy (SE) [ 29 , 30 ] and 0–1 test (T01) [ 19 , 20 ] for chaos diagrams in Figure 13 in the same rectangular areas of the two varying parameters. The diagrams in Figure 13 are of size 1000 × 1000.…”
Section: Comparison With the Sample Entropy And 0–1 Test For Chaos Diagramsmentioning
confidence: 99%
See 1 more Smart Citation