Arma optimal recursive state estimators for descriptor systems 最優(yōu)遞推狀態(tài)估值器
Study of algorithm for maneuvering target state estimator 機(jī)動(dòng)目標(biāo)狀態(tài)估計(jì)器算法研究
Wiener state estimators based on kalman filtering 狀態(tài)濾波器設(shè)計(jì)新方法
Unified self - tuning wiener state estimators are presented , which can handle the state filtering , smoothing and prediction problems in a unified framework , and their applications to the self - tuning tracking filters are given 提出了統(tǒng)一的自校正wiener狀態(tài)估值器,它可統(tǒng)一處理系統(tǒng)狀態(tài)的濾波、平滑和預(yù)報(bào)問(wèn)題,并給出了在自校正跟蹤濾波器中的應(yīng)用。
Secondly , supposed a apply to xxx - helicopter , with the aid of the target state estimator , a digital simulation to the whole iffc system has been done . the results show that it is feasible to utilize the supposed iffc system 其次,我們以某型直升機(jī)為例,利用目標(biāo)狀態(tài)估計(jì)器模型,在matlab5 . 3環(huán)境下,對(duì)所設(shè)計(jì)的iffc系統(tǒng)進(jìn)行了數(shù)字仿真,結(jié)果表明,本文所設(shè)計(jì)的iffc系統(tǒng)是可行的。