本文選題：狀態(tài)時滯 + 增廣狀態(tài)��； 參考：《控制與決策》2017年06期

【摘要】：針對含狀態(tài)時滯的線性離散時變狀態(tài)空間模型,提出一類無偏有限脈沖響應(yīng)(UFIR)濾波算法.通過構(gòu)造含有時滯狀態(tài)的增廣系統(tǒng)模型,對原系統(tǒng)進(jìn)行無時滯轉(zhuǎn)換.利用擴(kuò)展?fàn)顟B(tài)空間模型的思路,將現(xiàn)有UFIR濾波算法推廣至含控制輸入的狀態(tài)時滯系統(tǒng)中,并進(jìn)一步求解相應(yīng)的迭代形式,保留類Kalman算法快速計(jì)算的特點(diǎn).通過仿真例子表明了所提出算法的有效性.
[Abstract]:A class of unbiased finite impulse response UFIRs filtering algorithm is proposed for linear discrete time-varying state space model with state delay.By constructing an extended system model with time-delay state, the delay-free transformation of the original system is carried out.Based on the idea of extended state space model, the existing UFIR filtering algorithm is extended to the state delay system with control input, and the corresponding iterative form is solved further, which preserves the characteristics of fast computation of the similar Kalman algorithm.A simulation example shows the effectiveness of the proposed algorithm.
【作者單位】： 江南大學(xué)自動化研究所;江南大學(xué)輕工過程先進(jìn)控制教育部重點(diǎn)實(shí)驗(yàn)室;
【基金】：國家自然科學(xué)基金項(xiàng)目(61603155) 中央高�；究蒲袠I(yè)務(wù)費(fèi)專項(xiàng)資金項(xiàng)目(JUSRP116037)
【分類號】：TN713;TP13
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本文編號：1735776