吸引子
混乱的
计算机科学
复杂动力学
极限(数学)
陈
非线性系统
极限环
统计物理学
动力系统理论
分叉
领域(数学)
系统动力学
理论(学习稳定性)
复杂系统
混沌控制
分叉理论的生物学应用
分形
霍普夫分叉
混沌同步
数学
控制理论(社会学)
物理
控制(管理)
人工智能
数学分析
纯数学
古生物学
量子力学
机器学习
生物
作者
Sk. Sarif Hassan,Sujay Goldar
标识
DOI:10.1142/s0218127423501444
摘要
The Chen circuit system, a three-dimensional autonomous system with intriguing dynamics, has gained considerable attention due to its potential applications in diverse scientific fields. In this article, a Chen-like system is defined and a comprehensive dynamics studied. The system exhibits chaotic dynamics, limit cycles, and bifurcations, making it a captivating subject of study. By employing numerical simulations and analytical techniques, we explore the system’s stability and identify critical parameter values leading to qualitative changes. Notably, we delve into Hopf bifurcations, which give rise to stability changes and the emergence of limit cycles. Furthermore, we analyze the fractal dimension of the system’s attractor, providing insights into its complexity and self-similarity. Through a systematic examination of the Chen-like system, we deepen our understanding of its intricate dynamics and offer valuable insights into the underlying mechanisms. The findings contribute to the field of dynamical systems and hold potential implications in areas such as chaos-based secure communications, signal processing, and nonlinear control. This work serves as a valuable reference for researchers and practitioners interested in the dynamics and bifurcation analysis of nonlinear systems.
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