二阶循环数列方程的特征根解法

就应用常微分方程的常系数线性微分方程解法的理论解决递归数列中二阶循环数列方程问题进行了论述 ,由此可看到高等数学对初等数学的指导作用 .     

磁悬浮长大干线车站设计的探讨

在综合考虑磁悬浮长大干线特点基础上,参考高速铁路车站的类型特点,根据磁悬浮线路特点和在长大干线上磁悬浮列车的运行特点,从磁悬浮车站的分类、站型设计和站场相关参数的计算等方面探讨了磁悬浮长大干线车站的设计.     

一类广义Liénard系统的正半轨线与特征曲线相交的条件

获得了广义Li啨ｎａｒｄ系统dxdt =p(y) -F(x) ,　 dydt =-g(x)q(y)过平面上任意一点的正半轨线与特征曲线p(y) =F(x)相交的充分条件 .     

基于集总电感传输线建模的控制系统数字仿真

应用集总电感元件的传输线建模方法(TLM)构造了一种基于数值求解微分方程的数字仿真算法。通过把状态变量对应于电感中的电流，利用电感元件的传输线模型得到状态方程的仿真模型来实现控制系统的数字仿真计算。由于TLM方法是以传输线的等效无源线性网络作为建模基础，从而使算法具有无条件的数值稳定性。     

基于变神经网络的非线性最小方差预测控制器

提出基于变神经网络学习动态系统参数的最小方差预测控制器。其目的是通过在线学习 ,使控制器(MVPC)能适应被控对象参数变化和非确定性。提出的变神经网络由两部分组成 ,一部分是线性神经网络 (LNN) ,作为被控对象局部线性动态模型 ,另一部分是多层交叉回归神经网络 (DRNN) ,它近似为非线性动态模型。由于引进递推最小方差算法 ,本控制器运算速度相当快。仿真结果表明所提方法对非线性系统自适应控制是有效的     

Timed bromocriptine administration reduces body fat stores in obese subjects and hyperglycemia in type II diabetics.

Obese postmenopausal female volunteers were given timed daily oral dosages of bromocriptine, and tested for reduction of body fat stores. This dopamine agonist has been shown to reset circadian rhythms that are altered in obese animals and to reduce body fat levels in several animal models. The participants were instructed not to alter their existing exercise and eating behavior during treatment. Skinfold measurements were taken on 33 subjects as indices of body fat. The measurements (e.g., suprailiac) were reduced after six weeks by about 25%, which represents a reduction of 11.7% of the total body fat. These dramatic decreases in body fat, which are equivalent to that produced by severe caloric restriction, were accompanied by more modest reductions of body weight (2.5%), indicating a possible conservation of protein that is usually lost as a consequence of such caloric restriction. The effects of bromocriptine treatment on body fat and hyperglycemia were also examined in non-insulin dependent diabetics being treated with oral hypoglycemics (7 subjects) or insulin (7 subjects). Total body fat was reduced by 10.7% and 5.1% in diabetics on oral hypoglycemics and insulin, respectively, without any significant reductions in body weight. Hyperglycemia was reduced in most of the 15 diabetic subjects treated leading to euglycemia and even cessation of hypoglycemic drugs in 3 of the 7 subjects during 4-8 weeks of bromocriptine treatment. These findings support the hypothesis that obesity and type II diabetes may be treated effectively with bromocriptine when administered at the proper times and dosages.     

Preferential excretion of glycated albumin in C57BL-Ks-J mice: effects of diabetes.

Urinary excretion of glycated albumin was quantitated in genetically hyperglycemic mice (C57BL-Ks-J, db/db mice), a model for non-insulin-dependent diabetes mellitus, and compared with their non-diabetic littermates. The data indicated a preferential excretion of glycated albumin in non-diabetic mice. This phenomenon of 'editing' of glycated albumin is decreased significantly in diabetic mice. Quantitative measurements of overall excretion of glycated albumin suggested that the loss of editing in diabetic mice is due to the dilution of glycated albumin by the unmodified albumin which is excreted in large amounts in diabetic mice. Therefore, the loss of editing observed in this model resembled the one we characterized in insulin-dependent diabetic humans and a streptozotocin-diabetic rat model.     

气象杂波环境下二维次序统计量恒虚警检测器

利用实际的气象杂波数据 ,研究了其CFAR处理问题。基于FFT处理技术 ,比较了CAGO -CFAR检测器、CLUTTERMAPPING -CFAR检测器和MX -OS -CFAR检测器的抑制气象杂波性能。针对存在的问题 ,提出了将通常在一维距离向进行的CFAR处理改为在R-Fd(距离 -多普勒频率 )二维平面进行 ,并利用次序统计量估计杂波幅度 ,形成新的稳健的 2D -OS -CFAR检测器。对实际杂波数据和仿真目标数据的处理结果表明所提出的 2D -OS -CFAR检测器具有良好的性能     

利用初等变换求极大线性无关组

给出利用矩阵的初等变换求极大无关组的方法 ,并从理论上加以证明 .此法简单易行 ,且计算量小 .     

Exponential smoothing: Behavior of the ex-post sum of squares near 0 and 1

When using simple exponential smoothing on a given time series the nature of the relationship between the optimal smoothing constant and the autocorrelation structure of the series remains an unresolved question. Although numerical search routines can easily be used to find optimal values of the smoothing constant, they offer little insight into the nature of the relationship between the estimated smoothing constant and the structure of the underlying time series. We suggest that renewed investigations of the ex-post sum of squares function may prove helpful in this pursuit. Results are presented that illustrate how the optimal smoothing constant depends upon the value used to initialize the smoothing and upon the sample autocorrelation coefficients of the observed series. These results are based on a new formula for the derivative of the ex-post sum of squares function. In particular, the derivative is examined near 0 and 1, where great simplifications occur in its form, thereby facilitating investigations near these points. A necessary and sufficient condition is stated for when the ex-post sum of squares must have a positive derivative at 0 and the autocorrelation coefficients of the differenced series are shown to affect the sign of the derivative near 1. Based on these results, a general algorithm is presented as an alternative to grid search routines for minimizing the ex-post sum of squares.