为此,周东华等人 提出了强跟踪滤波器(Strong Tracking Filter ,STF) [3] . 与通常的 滤波器相比,STF 具有以下优点: (1) 较强的关于模型不确定 性的鲁棒性...
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为了 提高估计等值算法的实时性和准确性，本文引入强跟踪滤波器（Strong Tracking Filter，STF）用于电力系统实时动态等值及自适应控制。
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suboptimal strong tracking filter 次优强跟踪滤波器
strong tracking kalman filter 强跟踪卡尔曼滤波器
Strong Tracking Particle Filter 强跟踪粒子滤波
By changing the multiple time-varying fading factors of the strong tracking filter,MSTKF switches between Kalman filtering and strong tracking filtering.
通过直接改变强跟踪滤波器的多重时变渐消因子，MSTKF在卡尔曼滤波和强跟踪滤波两种工作状态之间切换。
参考来源 - 强跟踪状态估计与群集辨识·2,447,543篇论文数据，部分数据来源于NoteExpress
A new kind of training method of RBF neural network is given, which is a method based on strong tracking filter.
文中给出了一种新的RBF神经网络训练方法，即基于强跟踪滤波器的训练方法。
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。
By combining the strong tracking filtering theory with data fusion estimation approaches, we put forward a new fusion estimation algorithm of multi sensor based on strong tracking filter.
将强跟踪滤波理论与多传感器数据融合估计方法相结合，提出基于强跟踪滤波器的多传感器数据融合估计新算法。
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