没有参数的费根姆情景
Ivan A Korneev1, Ibadulla R Ramazanov1, Andrei V Slepnev1
1Institute of Physics, Saratov State University, Astrakhanskaya str. 83, 410012 Saratov, Russia.
Chaos (Woodbury, N.Y.)
|September 8, 2023
概括
这项研究揭示了由初始条件引发的无参数变化的周期翻倍分叉. 这导致了基于memristor的振荡器中的确定性混乱,为非线性动力学提供了新的见解.
科学领域:
- 非线性动力学和混沌理论.
- 基于memristor的电路分析.
- 分叉理论. 分叉理论.
背景情况:
- 非线性消散系统通常通过改变系统参数来表现出周期翻倍的分叉.
- 了解分叉对于预测系统行为和向混乱过渡至关重要.
研究的目的:
- 为了研究由初始条件引起的周期翻倍分叉,独立于参数变化.
- 为了展示一连串的这些无参数的分叉导致决定性混乱.
- 分析memristors在实现无参数分叉中的作用.
主要方法:
- 修改的安尼申科-阿斯塔霍夫自振器的数值建模.
- 研究由初始条件变化引发的分叉.
- 将理想的memristor动态与一个包含memristor遗忘效应的模型进行比较.
主要成果:
- 在没有参数变化的情况下,证明周期翻倍的分叉.
- 观察一连串的分叉导致决定性的混乱.
- 识别memristor属性作为实现无参数分叉的关键.
结论:
- 由初始条件启动的无参数分叉可以诱导决定性混乱.
- 基于memristor的振荡器为研究这些独特的分叉提供了一个新的平台.
- 记忆器忘记效应影响振荡器的动态.
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