多传感器全局最优加权观测融合Wiener信号滤波器

基于Kalman滤波,应用加权观测融合方法,对于带白色观测噪声的单通道ARMA信号,提出了全局最优多传感器观测融合Wiener信号滤波器。可统一处理信号融合滤波、平滑和预报问题。同集中式规测融合方法和分布式状态融合方法相比．不仅可获得全局最优Wiener信号滤波器,而且明显减小计箅负担,便于实时应用。一个三传感器加权观测融合仿真例子说明了其有效性。     

Banach空间中2类压缩映射不动点的具误差的Ishikawa迭代序列的收敛性

讨论了Banach空间中拟压缩映射对和广义压缩映射的具误差的Ishikawa迭代序列的收敛性问题,得出了在一定条件下,这2类压缩映射分别强收敛于它们的不动点.这些结论推广和发展了已有的相关结果,使这些结果的适用范围更广.     

多传感器信息融合白噪声去卷Wiener滤波器和平滑器

应用现代时间序列分析方法和白噪声估计理论,在线性最小方差最优信息融合准则下,提出了多传感器最优信息融合白噪声去卷W iener滤波器和平滑器,其中给出了局部滤波误差之间的协方差公式,它可被用于计算最优融合加权系数.同单传感器情形相比,可提高融合估值器精度.它可应用于石油地震勘探信号处理.一个3传感器信息融合Bernoulli-Gaussian白噪声去卷滤波器的仿真例子说明了其有效性.     

基于Wiener滤波器的波形比较方法及其在最坏情况分析中的应用

提出一种基于Wiener滤波器的波形比较方法,应用于数模混合电路的最坏情况分析.该方法能考虑一定的时间容限和信号容限,自动比较电路在不同的工艺参数、电压和温度(PVT)组合下的仿真波形,通过波形形状的比较来实现电路性能验证,有效地提高了电路验证效率.此方法成功地运用到波形比较软件系统中,并已在Intel技术开发(上海)公司内部推广使用.     

基于马尔可夫决策过程的MES系统动态调度方法

针对以事件为驱动的网络化制造环境下生产系统的特征,扩展马尔可夫决策过程,根据生产制造的特点进行动态生产调度方法的研究.以面向用户标准为基础,用制造系统响应时间来评价调度算法在不同规则下具有的性能特点;根据分析结果分别确定各种调度规则在预期时间内能够达到生产优化调度或满意调度的可能程度.将调度规则与实际生产相结合,设计网络化制造环境下动态调度指令单管理系统,实现制造管理的信息化.本系统可以按照用户需求实时反映生产制造信息;根据企业情况确定调度规则,生成调度决策方案,最大程度保证企业利益.     

Prediction in context: On the comparative epistemic merit of predictive success

The considerations set out in the paper are intended to suggest that in practical contexts predictive power does not play the outstanding roles sometimes accredited to it in an epistemic framework. Rather, predictive power is part of a network of other merits and achievements. Predictive power needs to be judged differently according to the specific conditions that apply. First, predictions need to be part of an explanatory framework if they are supposed to guide actions reliably. Second, in scientific expertise, the demand for accurate predictions is replaced with the objective of specifying a robust corridor of estimates. Finally, it is highly uncertain to predict the success of research projects. The overall purpose of the paper is to enlarge the debate about predictions by addressing specifically the roles of predictions in application-oriented research.     

基于分层马尔可夫决策过程的AUV全局路径规划研究

自主路径规划是自治式水下机器人(AUV)自主能力的重要体现,是保障AUV在大范围复杂海洋环境中自主完成使命作业的关键技术之一。提出了基于马尔可夫决策过程的路径规划方法;并建立了基本的马尔可夫决策模型和结合状态聚类的分层马尔可夫决策模型,同时给出了两种规划的仿真实验及结果分析。实验证明,此类方法能够很好地求解大范围复杂环境内AUV的二维路径规划问题。     

关于λ-修改的Wiener指数

令（n，△）是具有n个顶点，最大度为△的树的全体．1．△（n）是具有n个顶点且每个顶点的度是1或△的树的全体．对于任意λ≠0，本文分别在（n，△）和。1.△（n）中确定了具有最大的五一修改的Wjener指数的极值图．     

Lagrange插值在一重积分Wiener空间下的平均误差

在加权L2范数逼近意义下确定了基于扩充的第一类Chebyshev结点组的Lagrange插值多项式列在一重积分Wiener空间下平均误差的强渐近阶．     

Synthesis process of Ba-ferrites from α-FeOOH and γ-FeOOH and investigation of magnetic properties

The claviform BaFe₁₂O₁₉ crystals were synthesized by the precipitation-toptactic reaction method using α-FeOOH and γ-FeOOH as raw materials respectively. The synthesis processes of BaFe₁₂O₁₉, studied by XRD, SEM, EDS, FT-IR, and TG-DTA techniques, included preparations of precursor γ and precursor α, formations of α-Fe₂O₃ and BaFe₂O₄, and production of rod-like BaFe₁₂O₁₉ through dehydroxylation of pod-like FeOOH, followed by reactions of α-Fe₂O₃ with BaCO₃ and BaFe₂O₄. The crystallinity of α-Fe₂O₃ and BaCO₃ from precursor α was better than from precursor γ due to the direct dehydroxylation of α-FeOOH, resulting in a lower nucleation rate and better crystallinity of BaFe₂O₄. BaFe₁₂O₁₉ prepared from precursor α showed lower crystallinity and purity with a higher length-diameter ratio than from precursor γ. The VSM results proved that the appearance of final products had an important influence on magnetic properties.