改善的方法之一就是利用空间滤波器小孔将非线性增长很快的部分滤掉。

One way to improve beam quality is that the frequency having high nonlinear gain should be filtered by spatial filter pinhole.

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基于混沌动力系统相空间的延迟坐标重构和双线性表达式，设计了预测混沌时间序列的双线性自适应预测滤波器。

Based on the delay-coordinate reconstruction and bilinear expressions in the phase space of a chaotic system, a bilinear adaptive filter was designed to predict low-dimensional chaotic time series.

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然后将干扰模型中的“干扰项”作为状态变量增广到原系统的状态空间中；接着基于增广的状态空间模型设计线性卡尔曼滤波器实现对干扰状态的估计；

Then, augment the system state with the disturbance vector and linear Kalman filter was used to estimate the disturbance and its effect on the system output.

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