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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Kalman filter of the kind of equations was calculated with T-SFIMMA algorithm based on adaptive Kalman filter algorithm of T-S fuzzy model, realize the tracking and automatic switchover of models.

对各方程序卡尔曼滤波，通过T - SFIMMA算法进行基于T - S模糊模型的自适应卡尔曼滤波计算，实现系统模型的实时跟踪与自动转换。

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