探索由随机参数驱动的无电感器电路的混沌和 ergodic 行为
Soumyajit Seth1,2, Abhijit Bera3, Vikram Pakrashi1
1UCD Centre for Mechanics, Dynamical Systems and Risk Laboratory, School of Mechanical and Materials Engineering, University College Dublin, Dublin, Ireland.
概括
这项研究使用参数变化引入了非平滑地图中的随机性,揭示了混乱的行为可以消失,即使确定性系统显示混乱. 这项研究探讨了随机零碎平滑系统中的动力学.
科学领域:
- 不平滑的动力学 不平滑的动力学
- 随机系统分析分析 随机系统分析
- 混沌理论是一个混乱理论.
背景情况:
- 在周期性和随机扰动下的光滑地图上存在广泛的研究.
- 在随机模式下,非平滑地图的探索仍然较少.
- 这项工作涉及到随机零碎平滑地图的动态.
研究的目的:
- 为了呈现由无电感器开关电路衍生出来的随机零碎平滑地图.
- 调查参数随机性对系统动态的影响.
- 分析混乱行为出现或消失的条件.
主要方法:
- 通过边界,随机选择的参数值 (均和三角分布) 引入随机性.
- 分析状态变量演变和整体平均值.
- 计算利亚普诺夫指数和概率密度函数.
- 数字模拟块式平滑地图. 数字模拟块式平滑地图.
主要成果:
- 状态变量在特定的参数条件下表现出 ergodic 行为.
- 总的平均值汇聚到一个固定的值.
- 对于某些参数分布范围,混乱行为消失,与确定性地图的行为形成鲜明对比.
- 随着分布不对称性增加,利亚普诺夫指数会减少.
结论:
- 参数空间中的随机性可以抑制块状平滑地图中的混乱,这是实际系统的新发现.
- 该研究验证了概率密度函数的不变性.
- 这项研究提供了第一个从实用系统中以零碎平滑地图对随机性的数值证明.
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