adaptive tracking prediction

基本解釋

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.
本文提出了一種基于強(qiáng)跟蹤濾波器的自適應(yīng)故障預(yù)報方法，能夠?qū)σ活悗r變參數(shù)的非線性系統(tǒng)進(jìn)行故障預(yù)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(zhì)心法實現(xiàn)了對信標(biāo)光斑定位，利用卡爾曼預(yù)測算法實現(xiàn)了具有自適應(yīng)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.
在廠站采用“當(dāng)前”統(tǒng)計模型、常加速模型及常速模型構(gòu)成的交互式多模型（IMM）自適應(yīng)濾波算法，跟蹤預(yù)測發(fā)電機(jī)轉(zhuǎn)子角度。