关于随机微分系统的M_0—稳定性

本文的目的是将确定性常微系统的M_0—稳定性概念与结果,推广到一般随机微分系统.然后,利用这些结果来研究随机受扰确定性系统M_0—稳定性的条件;借助未受扰确定性系统的Lynpunov一型函数及比较方法,得到了随机受扰系统M_0—几乎必然一致渐近稳定性与M_0—p阶矩一致渐近稳定性的充分条件.     

Au吸附在GaAs（110表面的研究

研究了Au吸附在GaAs(110)表面的吸附构型,并计算了表面态密度和表面能带结构.计算结果表明,可以认定Au与Ga的悬挂键杂化成键,从而引起2条附加的能带,一条位于禁带之中,距价带顶为0.9ev;另一条与价带共振,离价带顶为0.7ev,所得结果与实验结果相一致.     

扰动对天敌有多食性模型稳定性的影响

本文主要讨论了扰动对天敌具有多食性模型 x_1=x_1(r_1-a_1y), x_2=x_2(r_2-a_2y), y=y(-r_3+b_1x_1+b_2x_2)稳定性的影响。利用Liapunov函数得到了昆虫种类内部的密度制约,将促使昆虫与天敌系统进一步稳定化,进而得出同一食饵水平上的竞争是不稳定化的结论。其中后一种情况与J.M,Smith的结论完全一致。     

OFG29桩架的稳定性计算分析

介绍了CFG29桩架的设计参数，同时对其稳定性进行了分析计算，对同类桩架的设计有参考价值。     

市场的稳定性取决于人心

传统的市场经济的金科玉律——供求关系影响价格,价格围绕价值上下波动,使许多人误认为市场的稳定性也是由供求关系或价格决定。但是利用蛛网模型可得出结论:市场的稳定性取决于人心,即人们对商品的敏感程度。     

A Novel Polymethyl Methacrylate （PMMA）TiO2 Nanocomposite and Its Thermal and Photic Stability

A new kind of polymethyl methacrylate （PMMA）-TiO2 nanocomposite was synthesized through polymerization. The thermal and photic stability of this PMMA TiO2 nanocomposites were investigated. The as prepared samples were characterized by scanning electron microscopy （SEM）, UV-Vis spectroscopy, differential thermal analysis （DTA） and the photo-induced weight loss, The results show that the photostability of the PMMA-TiO2 nanocomposite is higher than that of the pure PMMA under UV-light irradiation, The weight loss of the pure PMMA reaches 30 % after 300 h UVirradiation, while the composite only 0.3% under the identical experimental condition. The glass transition temperature （TR） of pure PMMA is only 80℃, while the Tg of the composite reaches 258℃. Compared with pure PMMA, the thermal stability of the composite is greatly enhanced.     

中碳钙硫易切削钢夹杂物形态控制

在实验室进行了1 kg坩埚实验,研究了中碳高硫结构钢钙处理前后夹杂物的形态、尺寸及组?结果表明:钢钙处理后获得了可以改善钢切削性的纺锤形夹杂物,夹杂物的平均纺锤形率为68.11%,并且随钢中[Ca]/[S]增加夹杂物纺锤形化趋势增加;钙处理后小于2.5 μm的夹杂物占夹杂物总量的76.05%,夹杂物细小、弥散分布于钢基体中;夹杂物类型以钙铝酸盐芯硫化物外壳的复合夹杂物、(Mn,Ca)S形式的硫化物为主,有少量的铝酸钙与CaS的复合夹杂物;含钙硫的45钢铸态钢锭比普通45钢铸态钢锭切削性能有所改善.     

PEAK COVARIANCE STABILITY OF A RANDOM RICCATI EQUATION ARISING FROM KALMAN FILTERING WITH OBSERVATION LOSSES

We consider the stability of a random Riccati equation with a Markovian binary jump coefficient. More specifically, we are concerned with the boundedness of the solution of a random Riccati difference equation arising from Kalman filtering with measurement losses. A sufficient condition for the peak covariance stability is obtained which has a simpler form and is shown to be less conservative in some cases than a very recent result in existing literature. Furthermore, we show that a known sufficient condition is also necessary when the observability index equals one.