新型硅烷偶联剂Si69的TG—DTG分析

Ｓｉ６９是近年来开发的一种被认为是橡胶助剂中很有发展前任的新型硅烷偶联剂。     

湖南柘溪水电站混凝土坝的流变断裂学研究(英文)

应用流变断裂学理论,本文着重研究了湖南柘溪水电站单支墩大头坝混凝土裂纹体裂纹发生与发展的计算程序。理论计算结果与现场观测结果基本一致。     

过程综合混合整数非线性规划的罚函数—凑整算法

针对过程系统最优综合的混合整数非线性规划（ＭＩＮＬＰ）模型，提出了一个整型变量松弛的新算法－罚函数－凑整算法，只需求解ＮＬＰ问题就可得到过程系统最优综合ＭＩＮＬＰ问题的解。典型算例表明，计算时间和算法的有效性都优于传统的ＭＩＮＬＰ分解算法。     

两位PID控制系统的数字仿真

两位PID调节器在轻纺工业电加热温度控制中有着较为广泛的当用。本文提出了一种可用于两位PID调节器和广义对象所织成的系统的数字仿真方法。只要对象的传递函数G_P(S)和调节器的参数是已知的,对象的被控变量在系统起动过程的变化就可以计算出来。本文所提出的方法是简单易行的,但却有较高的计算精度。此外,稍经变化,本文方法也可用来分析其他的位式控制系统。     

低温等离子体促进羊绒净洗的研究

为了开发和利用山羊绒,促进羊绒的净洗,我们用低温等离子体对它进行了处理。本文给出了实验结果,并初步分析了等离子体对羊绒纤维表面的作用。     

冷变形和时效温度对扭振时恒弹性合金f_s-T曲线的影响

本文探讨Fe-Ni-Cr-Ti合金在冷变形和时效状态中两种振动模式(扭振和横振)中的f(共振频率)-T(温度)曲线,以及冷变形压下量和时效温度对扭振模式中f_s(扭振共振频率)-T曲线的影响,指出:在冷变形状态的两种振动模式中,其f-T曲线相似但不重合;时效状态时扭振模式中的f_s-T曲线极大值与横振模式中的f_l(横振共振频率)-T曲线极小值所对应的温度移至室温附近,同一材料,随着时效温度升高,在扭振模式下其频率温度系数由正变负,在横振模式下由负变正,扭振模式下,随着冷变形压下量增加或时效温度降低,f_s-T曲线极大值移向高温,可通过调整冷变形压下量和时效温度以控制极大值对应温度,获得较低的频率温度系数值。     

一种加快最小二乘参数估计的参数跟踪速度的措施

本文探讨了如何加快最小二乘参数估计的参数跟踪速度问题。为此目的提出了一种自动调整其“遗忘因子”值的措施。仿真计算的结果证实,所采取的这种措施是可行而且是有效的。     

Matrix equation and its application to classification of finite-dimensional estimation algebras

Under a very natural condition, a matrix equation is proved to have only trivial solution. This result is then applied to the classification problem of finite-dimensional estimation algebras, which gives a simpler proof of Tang s recent result on the constant structure of the O~matrix.     

Target estimation using MIMO radar with multiple subcarriers

This paper analyzes the effect of waveform parameters on the joint target location and velocity estimation by a noncoherent multiple input multiple output (MIMO) radar transmitting multiple subcarriers signals. How the number of subcarriers influences the estimation accuracy is illustrated by considering the joint Cramer-Rao bound and the mean square error of the maximum likelihood estimate. The non-coherent MIMO radar ambiguity function with multiple subcarriers is developed and investigated by changing the number of subcarriers, the pulse width and the frequency spacing between adjacent subcarriers. The numerical results show that more subcarriers mean more accurate estimates, higher localization resolution, and larger pulse width results in a worse performance of target location estimation, while the frequency spacing affects target location estimation little.     

Forecasting time series with increasing seasonal variation

Four options for modeling and forecasting time series data containing increasing seasonal variation are discussed, including data transformations, double seasonal difference models and two kinds of transfer function-type ARIMA models employing seasonal dummy variables. An explanation is given for the typical ARIMA model identification analysis failing to identify double seasonal difference models for this kind of data. A logical process of selecting one option for a particular case is outlined, focusing on issues of linear versus non-linear increasing seasonal variation, and the level of stochastic versus deterministic behavior in a time series. Example models for the various options are presented for six time series, with point forecast and interval forecast comparisons. Interval forecasts from data-transformation models are found to generally be too wide and sometimes illogical in the dependence of their width on the point forecast level. Suspicion that maximum likelihood estimation of ARIMA models leads to excessive indications of unit roots in seasonal moving-average operators is reported.