在随机激发下的一类非线性Duffing型系统中,极端事件的发生机制
Dan Zhao1, Yongge Li1, Qi Liu1,2
1School of Mathematics and Statistics, Northwestern Polytechnical University, Xi'an 710072, China.
Chaos (Woodbury, N.Y.)
|August 4, 2023
概括
在非线性系统中,极端事件可能由于强烈的激发,分叉或切换到罕见的吸引器而发生. 了解这些机制有助于预测和避免极端事件.
科学领域:
- 非线性动力学是一种非线性动力学.
- 随机过程 随机过程
- 混沌理论的理论.
背景情况:
- 在具有随机干扰的系统中驱动极端事件的机制尚未完全理解.
- 一般化的Duffing类型系统作为研究这些复杂现象的模型.
研究的目的:
- 阐明三种不同的机制,负责非线性系统中极端事件的发生.
- 为预测和减轻极端事件提供洞察力.
主要方法:
- 对受到随机干扰的一般化Duffing型系统的分析.
- 研究极端刺激,分叉动态和罕见的吸引物现象.
主要成果:
- 极端事件可以由强烈的刺激 (例如,莱维噪声) 引发.
- 随机变化的分叉参数可以在有分叉的系统中引发极端事件.
- 随机的冲动刺激 (例如,Poisson白噪声) 可以导致模式切换到罕见的吸引器,从而导致极端事件.
结论:
- 在Duffing型系统中确定了极端事件发生的三个主要机制.
- 这些发现为类似非线性系统中极端事件的增强预测和避免策略提供了基础.
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