發(fā)布時(shí)間：2018-04-10 06:02

  本文選題：自動(dòng)控制技術(shù)　切入點(diǎn)：數(shù)學(xué)歸納法　出處：《吉林大學(xué)學(xué)報(bào)(工學(xué)版)》2017年05期

【摘要】：針對(duì)模型參數(shù)隨機(jī)不確定性和測量時(shí)滯現(xiàn)象,提出了一種基于垂直投影定理和新息分析的遞推魯棒濾波方法。該方法首先將原系統(tǒng)轉(zhuǎn)化成一個(gè)含有跨時(shí)相關(guān)性噪聲的隨機(jī)不確定性系統(tǒng),接著重新計(jì)算了新息,然后用數(shù)學(xué)歸納法證明所得到的新息是一個(gè)互不相關(guān)的序列,最后用新息分析和垂直投影定理獲得了所期望的遞推魯棒濾波器。該濾波器設(shè)計(jì)方法不需要將跨時(shí)相關(guān)性噪聲進(jìn)行狀態(tài)增廣,因而計(jì)算量小、精度高。仿真實(shí)驗(yàn)驗(yàn)證了該方法的有效性。
[Abstract]:A recursive robust filtering method based on vertical projection theorem and innovation analysis is proposed for stochastic uncertainty of model parameters and measurement delay.The method first transforms the original system into a stochastic uncertain system with cross-temporal correlation noise, then recalculates the innovation, and then proves by mathematical induction that the obtained innovation is an unrelated sequence.Finally, the desired recursive robust filter is obtained by using innovation analysis and vertical projection theorem.The filter design method does not need to extend the state of the cross-time correlation noise, so the calculation is small and the accuracy is high.Simulation results show that the proposed method is effective.
【作者單位】： 南京航空航天大學(xué)航天學(xué)院;
【基金】：國家自然科學(xué)基金項(xiàng)目(61203030) 中央高�；究蒲袠I(yè)務(wù)費(fèi)專項(xiàng)基金項(xiàng)目(NS2017064) 南京航空航天大學(xué)引進(jìn)人才科研啟動(dòng)基金項(xiàng)目(90YAH16033)
【分類號(hào)】：TN713
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本文編號(hào)：1729960