提出了一种模糊自适应卡尔曼滤波算法。
An algorithm of adaptive fuzzy Kalman filtering is presented.
针对这一问题，提出了利用惯性空间中地球重力加速度信息的捷联惯导自主粗对准方法，以及基于模糊自适应卡尔曼滤波的自主精对准方法。
The paper proposes a new alignment scheme, in which the gravity message is used in the coarse alignment procedure, and an adaptive Kalman filter is used in the fine alignment procedure.
提出了一种利用模糊逻辑控制器来在线调节卡尔曼滤波器的自适应数据融合方法，并着重研究了其在GPS/INS组合导航中的应用。
This paper presents an adaptive data fusion method which uses a fuzzy logic controller to online adjust the Kalman filter, and focuses on its application to the integrated GPS/INS navigation.
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。
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。
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.
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