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...
基于4个网页-相关网页
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。
基于4个网页-相关网页
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。
When faults arise in the control systems, PI Strong Tracking filter can detect, locate and estimate the faults at the same time.
在系统发生故障时，比例积分强跟踪滤波器不仅能够快速检测、定位故障，而且还能估计出故障的大小。
Then two better methods that one of correction of model error and the other of nonlinear filter by Strong Tracking Filter were proposed.
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。
应用推荐