adaptive tracking prediction

基本解释

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。
Using smoothing filter and average-force algorithm to position beacon's facula, then use kalman prediction algorithm with the adaptive capacity to achieve the recursive tracking algorithm.
以平均值平滑滤波法和质心法实现了对信标光斑定位，利用卡尔曼预测算法实现了具有自适应能力的递归跟踪算法。
The adaptive tracking algorithm of Interacting Multiple Model (IMM) to predict the rotor angle of the generator was employed to improve the on-line prediction accuracy of system stability.
在厂站采用“当前”统计模型、常加速模型及常速模型构成的交互式多模型（IMM）自适应滤波算法，跟踪预测发电机转子角度。