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RISS 인기검색어
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- 저자 : Yueyang Xu (검색결과 3 건)
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Adaptive robust INS/UWB-integrated human tracking using UFIR filter bank
Xu, Yuan,Ahn, Choon Ki,Shmaliy, Yuriy S.,Chen, Xiyuan,Li, Yueyang Elsevier 2018 Measurement Vol.123 No.-
<P><B>Abstract</B></P> <P>For human navigation, the ultra wide band (UWB)-based positioning technologies require extra infrastructure, while the inertial navigation system (INS)-based ones produce drift errors on a long time-scale. To overcome these shortcomings, we propose a novel INS/UWB-integrated system, in which the difference between the INS-measured position and UWB-measured position is corrected using a robust unbiased finite impulse response (UFIR) filter in a fusion center. To estimate optimally the averaging horizon for the UFIR filter in real time, the UFIR filter bank (UFFB) algorithm is designed employing the <I>Mahalanobis</I> distance between the estimated measurement and the actual measurement. It is shown experimentally that the UFFB-based INS/UWB-integrated human tracking system is able to provide real-time estimation with an accuracy consistent to that of the UFIR filter, which relies on a constant optimal horizon.</P>
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Li, Yueyang,Karimi, Hamid Reza,Ahn, Choon Ki,Xu, Yuan,Zhao, Dong Elsevier 2018 Journal of the Franklin Institute Vol.355 No.7
<P><B>Abstract</B></P> <P>This work deals with the problem of optimal residual generation for fault detection (FD) in linear discrete time-varying (LDTV) systems subject to uncertain observations. By introducing a generalized fault detection filter (FDF) with four parameter matrices as the residual generator, a novel FDF design scheme is formulated as two bi-objective optimization problems such that the sensitivity of residual to fault is enhanced and the robustness of residual to unknown input is simultaneously strengthened. A generalized operator based optimization approach is proposed to deduce solutions to the corresponding optimization problems in operator forms, where the related <I>H</I> <SUB>∞</SUB>/<I>H</I> <SUB>∞</SUB> or <SUB> H − </SUB> / <SUB> H ∞ </SUB> FD performance index is maximized. With the aid of the addressed methods, the connections among the derived solutions are explicitly announced. The parameter matrices of the FDF are analytically derived via solving simple matrix equations recursively. It is revealed that our proposed results establish an operator-based framework of optimal residual generation for some kinds of linear discrete-time systems. Illustrative examples are given to show the applicability and effectiveness of the proposed methods.</P>
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Yachun Ren,Yueyang Xu,Erjian Huang,Peng Zhang,Yongping Zeng 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.119 No.-
Adsorption desulfurization is a very effective method to remove thiophenic compounds from fuels. The metal–organic frameworks (MOFs) have emerged as a new type of desulfurization adsorbents because of their porous nature and large specific surface area. In this study, Cu2+ was covalently introduced into the UiO-66 framework at the defective sites by the solvothermal method. Further, the π-complexation adsorbent UiO-66-Cu(I) containing Cu+ for adsorption desulfurization was synthesized by the methanol vapor-induced reduction. The adsorption performance was tested for the removal of thiophene from the model fuels with different sulfur concentrations. In comparison with the pristine UiO-66, the adsorbent UiO-66-Cu(I) has a higher adsorption capacity for thiophene, reaching 14.8 mg S/g. The competitive adsorption results indicated that UiO-66-Cu(I) has good selectivity for thiophene in the presence of aromatic compounds. From the recycling experiments, this adsorption still has the 86 % of the initial capacity after four cycles, indicating that the adsorbent has a good recycling performance.
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