混乱的
正弦
数学
李雅普诺夫指数
三角函数
切比雪夫滤波器
切比雪夫多项式
赫农地图
蝴蝶效应
切线
混沌映射
数学分析
计算机科学
几何学
人工智能
作者
Hegui Zhu,Wentao Qi,Jiangxia Ge,Yuelin Liu
标识
DOI:10.1142/s0218127418501766
摘要
The one-dimensional Sine map and Chebyshev map are classical chaotic maps, which have clear chaotic characteristics. In this paper, we establish a chaotic framework based on a Sine–Cosine compound function system by analyzing the existing one-dimensional Sine map and Chebyshev map. The sensitive dependence on initial conditions, topological transitivity and periodic-point density of this chaotic framework is proved, showing that the chaotic framework satisfies Devaney’s chaos definition. In order to illustrate the chaotic behavior of the chaotic framework, we propose three examples, called Cosine–Polynomial (C–P) map, Sine–Tangent (S–T) map and Sine–Exponent (S–E) map, respectively. Then, we evaluate the chaotic behavior with Sine map and Chebyshev map by analyzing bifurcation diagrams, Lyapunov exponents, correlation dimensions, Kolmogorov entropy and [Formula: see text] complexity. Experimental results show that the chaotic framework has better unpredictability and more complex chaotic behaviors than the classical Sine map and Chebyshev map. The results also verify the effectiveness of the theoretical analysis of the proposed chaotic framework.
科研通智能强力驱动
Strongly Powered by AbleSci AI