轴向均布荷载压杆稳定问题的重心插值配点法

用重心插值配点法对轴向均布荷载下压杆稳定问题进行了研究。采用重心Lagrange插值多项式建立未知函数的微分矩阵,采用配点法将压杆稳定问题的控制方程表示为代数方程组。通过求解代数方程组系数矩阵的特征值和特征向量,得到了精度很高的后屈曲挠度数值和临界载荷数值。实例证明,这种方法原理简单,易于程序实现。     

基于灰色预测的多变量自适应PID控制器

针对汽轮发电机组具有多变量、强耦合、大时滞等特点,提出一种基于灰色预测的多变量自适应PSD控制算法。该方案通过一组灰色系统预测模型GM（1,N）对多变量系统的输出预测实现对角解耦。采用无辨识智能自适应PSD控制算法优化PID控制器的参数,用优化后的PID控制器对每个子系统进行控制。该方案不需要精确的数学模型,在线估计参数少,计算简单。仿真结果表明,与其他方法相比,这种控制方法响应速度更快,而且具有更好的自适应性和鲁棒性。     

Acoustical Modal Calculation for Rectangular Enclosure and Its Experimental Verification

ＡｃｏｕｓｔｉｃａｌＭｏｄａｌＣａｌｃｕｌａｔｉｏｎｆｏｒＲｅｃｔａｎｇｕｌａｒＥｎｃｌｏｓｕｒｅａｎｄＩｔｓＥｘｐｅｒｉｍｅｎｔａｌＶｅｒｉｆｉｃａｔｉｏｎＷＡＮＧＦｅｎｇｌｉｎＰＥＮＧＣｈｕｎｙｉｅＳＯＮＧＺｈｉｑｉｎＬＩＨｕａｍｉｎ（王峰林）...     

具有未知系统偏差的自适应Kalman平滑器

提出一种有效的具有未知系统伯差的自适应Ｋａｌｍａｎ平滑器．应用状态空间方法和ＡＲＭＡ新息模型，基于白噪声估值器和输出预报器，给出线性离散定常系统自适应最优状态和偏差联合Ｋａｌｍａｕ平滑器，最后给出仿真实例．     

基于函数插值的柯氏质量流量计信号处理方法

对基于离散傅里叶变换(DFT)信号处理方式的柯氏质量流量计来说,影响其精度的关键问题是如何实现信号的整周期采样。提出了一种全新的方法,用采样率固定不变的采样数据,通过软件实时地确定信号的频率并且实现信号整周期重新采样。实验结果表明该方法在求取相位差时具有极高的精度。     

Piecewise linear mapping functions for image registration

A new approach to determination of mapping functions for registration of digital images is presented. Given the coordinates of corresponding control points in two images of the same scene, first the images are divided into triangular regions by triangulating the control points. Then a linear mapping function is obtained by registering each pair of corresponding triangular regions in the images. The overall mapping function is then obtained by piecing together the linear mapping functions.     

Matching and Interpolation of Shapes using Unions of Circles

While the notion of shape of an object is very intuitive, its precise definition is very elusive, and defining a useful metric for the shape distance between objects is a difficult endeavor. At the same time many successful techniques have been developed which interpolate between two objects, so in essence interpolate between shapes. W e present here work which uses a representation of objects as union of circles to define a distance between two objects and to base a method to interpolate between the two. This method can be used in a totally automatic fashion (that is, without any user intervention), or users can guide a pre-registration phase as well as a segmentation phase, after which the matched segments are interpolated pair-wise. The union of circles representation of the two objects is obtained from the Delaunay triangulation of their boundary points. The circles can be simplified to obtain smaller data sets. The circles are then optimally matched according to a distance metric between circles which is a function of their position, size, and feature, that is, a local configuration of circles. The interpolation between the two objects is then obtained by interpolating between the matched pairs of circles (the interpolations can be affine or non -affine). Examples with simple and more complex objects show how the technique can give results which correspond closely to the human notion of shape interpolation. The interpolations shown include some between a calf and a cow and between a cow and a giraffe. The examples given are in two dimensions, but all the steps except the segmentation have been implemented as well for three dimensional objects. W e also show the results of computation of distances between the objects used in our examples.