高速磁浮列车相对位置传感器的设计

根据直线同步电机长定子的齿槽结构特性,设计了一种新型的电感式相对位置传感器.介绍了检测线圈的结构和同步解调电路,并利用DSP的运算能力,在算法上实现磁极与长定子之间的高精度定位.最后,通过实验验证表明,该传感器工作稳定,满足牵引要求.     

EBJ-132A型掘进机工作机构控制系统的研究

探讨了自动完成悬臂式掘进机的巷道断面自动成形,提出了根据不同煤岩分布调整悬臂摆动速度来达到截割主电机恒功率控制的方法.所设计的系统可以根据用户输入的断面形状和参数自动完成巷道断面的成形,实现不同巷道煤岩分布情况下能够自动调节进给速度的功能,达到降低功率损失、提高工作效率及自动化的目的.为实现机掘巷道自动化和无人化提供了一种切实可行的方法.     

基于时间序列法的风电场风速预测研究

针对时间序列的超短期风速预测进行研究,采用Box.Jenkins时间序列分析方法,通过Maflab软件,在达坂城风电场30 m处.每10 min采集一次得到的风速数据,建立ARMA模型,实现提前一小时的风速预测,为更长时间(半天、一天或两天)的风速预测提供理论基础.     

基于LSSVM的木材干燥建模研究

针对木材干燥过程的强非线性特点,提出以最小二乘支持向量机LSSVM建立木材干燥基准模型.通过实验用小型木材干燥窑实际干燥过程中采集的数据作为训练样本进行仿真实验,结果表明基于LSSVM的木材干燥模型预测输出能够准确反映干燥过程木材含水率的变化,模型结构简单、预测精度高、泛化能力强,验证了LSSVM对木材干燥过程建模是一种可行而有效的方法.     

量子小波变换算法及线路实现

随着小波理论研究的深入,以及小波分析在信号分析和图像处理等领域的广泛应用,小波分析在量子计算领域中也越来越受到重视.应用置换矩阵、W-H变换矩阵和量子傅立叶变换矩阵来对Haar小波及D(4)小波变换矩阵进行分解,给出其算法,然后得出其完整的量子逻辑线路图,最后分析其复杂度.     

模糊C-均值(FCM)聚类算法的实现

传统的FCM算法能够将靠近边界的具有固有形状的两个簇合并成为一个大的簇.然而,对于一些稍微复杂的数据,如果没有其它的像去除小簇之类的机制的话,FCM算法很难将非常接近的类聚类到一起.给出的聚类算法是在传统FCM算法的循环之后添加了去除掉空簇的步骤,解决了上述很难将非常接近的类聚到一个簇中的问题.另外,为便于选出最优结果,在递归之后又添加了计算聚类有效性的步骤.最后用Java实现了该算法并在数据集上进行了实验,证实了改进方法的有效性.     

Output regulation for a class of uncertain nonlinear systems with nonlinear exosystems and its application

In this paper, we consider the global robust output regulation problem for a class of uncertain nonlinear systems with nonlinear exosystems. By employing the internal model approach, we show that this problem boils down to a global robust stabilization problem of a time-varying nonlinear system in lower triangular form, the solution of which will lead to the solution of the global robust output regulation problem. An example shows the effectiveness of the proposed approach.     

Design and analysis of switching reduced-order observer and separation principle for T-S fuzzy system

This paper designs and analyzes switching fuzzy reduced-order observer and proves that the corresponding separation principle does hold. A numerical simulation and comparison with smooth fuzzy full-order observer are given to assess switching fuzzy reduced-order observer and the validity of the separation principles. Supported by the National Laboratory of Space Intelligent Control and Open Foundation (Grant No. SIC07010202), and the National Natural Science Foundation of China (Grant Nos. 60604010, 90716021, 60736023)     

基于奇异值分解的欠定ICA算法研究

从奇异值分解出发,研究欠定独立分量分析(ICA)盲分离的新算法,给出了欠定ICA算法的代价函数,推导出分离矩阵的计算公式.在此基础上,提出了将基于奇异值分解的欠定ICA算法与普通ICA算法相结合的二次盲信号分离算法.利用此盲分离算法,能够较好地分离出部分源信号.仿真实验说明了此方法的有效性.     

BPEL流程监视的可视化实现

When a BPEL process is executed, it is necessary to dynamically monitor the process. BPEL is a executable language, which is not suitable for visual monitoring. On the other hand, BPMN is designed to visually describe business process and is more intuitive for monitoring. To visually monitor a BPEL process, transformation from BPEL to BPMN is necessary. However, current study of transformation from BPEL to BPMN does not support the transformation of "link" activity. Besides, no work has been done to add supplementary information into BPMN during transformation. In this paper, we transform nested BPEL process into a flat BPMN process graph without hierarchy through applying a flattening strategy. Especially, we analyze various scenarios of the transformation of link activity, and provide a method to deal with it. Besides, we analyze the mapping between BPEL activities and BPMN graph, through which we found out that some supplementary information cannot automatically obtained from BPEL process. These supplementary information need to be added during transformation. At the end of this paper, we present the structure of our monitoring tool which is based on our transformation algorithm.