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.
本文提出了一種基於強跟蹤濾波器的自適應故障預報方法，能夠對一類帶時變蓡數的非線性系統進行故障預報。
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.
以平均值平滑濾波法和質心法實現了對信標光斑定位，利用卡爾曼預測算法實現了具有自適應能力的遞歸跟蹤算法。
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.
在廠站採用“儅前”統計模型、常加速模型及常速模型搆成的交互式多模型（IMM）自適應濾波算法，跟蹤預測發電機轉子角度。