A digital tracking filter method is put forward, its approach realizing adaptive tracking ability is simple and easy, and good effect of noise cancellation can be obtained.

提出了数字跟踪窄带滤波方法，实现的自适应跟踪方法简便，消噪效果良好。

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This paper presents an adaptive fault prediction method based on strong tracking filter, which can predict faults in a class of nonlinear time varying systems.

本文提出了一种基于强跟踪滤波器的自适应故障预报方法，能够对一类带时变参数的非线性系统进行故障预报。

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In this paper, we proposed an adaptive tracking technique, based on extended Kalman filter approach, to identify the structural parameters and their changes.

本文采用了一种基于广义卡尔曼滤波的自适应追踪技术对结构的参数进行辨识。

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