论文标题
使用水库计算机预测和防止极端事件
Using reservoir computer to predict and prevent extreme events
论文作者
论文摘要
我们表明，储层计算机是确定性混乱系统中极端事件的无模型预测的有效工具。这一预测使我们能够通过在预期的极端事件之前对系统应用弱控制扰动来抑制不必要的极端事件。对于全球耦合的Fitzhugh-Nagumo神经元系统以及两个几乎相同的单向耦合混乱振荡器的系统，证明了这种预测和预防策略的有效性。
We show that a reservoir computer is an effective tool for model-free prediction of extreme events in deterministic chaotic systems. This prediction allows us to suppress unwanted extreme events, by applying weak control perturbations to the system at times preceding expected extreme events. The effectiveness of such a prediction and prevention strategy is demonstrated for a system of globally coupled FitzHugh-Nagumo neurons and for a system of two almost identical unidirectionally coupled chaotic oscillators.
