التفاصيل البيبلوغرافية
| العنوان: |
Natural Exponential and Three‐Dimensional Chaotic System |
| المؤلفون: |
Shiwei Liu, Qiaohua Wang, Chengkang Liu, Yanhua Sun, Lingsong He |
| المصدر: |
Advanced Science, Vol 10, Iss 15, Pp n/a-n/a (2023) |
| بيانات النشر: |
Wiley, 2023. |
| سنة النشر: |
2023 |
| المجموعة: |
LCC:Science |
| مصطلحات موضوعية: |
chaotic system, duffing model, entropy, phase space, prediction, Science |
| الوصف: |
Abstract Existing chaotic system exhibits unpredictability and nonrepeatability in a deterministic nonlinear architecture, presented as a combination of definiteness and stochasticity. However, traditional two‐dimensional chaotic systems cannot provide sufficient information in the dynamic motion and usually feature low sensitivity to initial system input, which makes them computationally prohibitive in accurate time series prediction and weak periodic component detection. Here, a natural exponential and three‐dimensional chaotic system with higher sensitivity to initial system input conditions showing astonishing extensibility in time series prediction and image processing is proposed. The chaotic performance evaluated theoretically and experimentally by Poincare mapping, bifurcation diagram, phase space reconstruction, Lyapunov exponent, and correlation dimension provides a new perspective of nonlinear physical modeling and validation. The complexity, robustness, and consistency are studied by recursive and entropy analysis and comparison. The method improves the efficiency of time series prediction, nonlinear dynamics‐related problem solving and expands the potential scope of multi‐dimensional chaotic systems. |
| نوع الوثيقة: |
article |
| وصف الملف: |
electronic resource |
| اللغة: |
English |
| تدمد: |
2198-3844 |
| Relation: |
https://doaj.org/toc/2198-3844 |
| DOI: |
10.1002/advs.202204269 |
| URL الوصول: |
https://doaj.org/article/36643c114c724bb1b705b433da614675 |
| رقم الانضمام: |
edsdoj.36643c114c724bb1b705b433da614675 |
| قاعدة البيانات: |
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