等延时模糊多变量系统的自适应控制

基于ＴａｋａｇｉＳｕｇｅｎｏ模型（ＴＳ模型）推导出等延时模糊多变量系统输出的预测模型，提出了等延时模糊多变量系统的自适应控制算法，并简要讨论了闭环系统的稳定性     

基于阶梯化脉冲响应模型的鲁棒预测控制器

基于阶梯化脉冲响应模型，进行一种简单预测控制器的再设计，提出了一种鲁棒预测控制器，证明了建模误差在一定范围内，可保证预测控制器是鲁棒稳定的，并使得闭环系统在存在建模误差和未知常值扰动情况下无静态跟踪误差．最后用仿真研究验证此算法的鲁棒性．     

小波变换式小电流传感器的研究

采用霍尔检零原理(即闭环原理)推导出了霍尔检零系统的稳态误差表达式，得出了在霍尔检零系统中放大器的放大倍数越大稳态误差越小的结论．把小波变换技术应用到小电流传感器中，构造的声表面波换能器脉冲响应函数等于小波函数，从而制造出了声表面波式小波变换及重构器件，该器件可有效滤除小电流传感器的干扰信号．霍尔检零系统可以补偿温度和霍尔元件恒流源电流的变化对测量的影响．     

m序列法测量室内脉冲响应的非线性失真分析

m序列法测量室内脉冲响应已经被广泛接受，鉴于实际系统中的噪声和非线性会降低脉冲响应测量的精确性，对m序列法测量过程中室内系统微弱非线性所引起的失真进行了分析．叠加有微弱非线性的室内系统在时域可以等效为一个线性子系统和非线性无记忆环节的级联模型．根据该模型，推导了单一非线性作用下运用m序列法测量的室内脉冲响应误差，并且分析了该方法对各阶非线性的抑制能力．仿真实验验证了推论的正确性．     

基于最小方差控制的闭环辨识信号设计

讨论了系统辨识实验信号的设计方法．从实际控制器和理想控制器间误差的角度出发，评价系统性能指标为系统在实际和在理想控制器控制下输出误差的平方均值最小．当输入信号或输出信号能量有限时，分别推导出辨识输入信号功率谱密度．当控制策略为最小方差控制时，给出信号功率谱的具体表达式．结论对在最小方差控制下的闭环辨识信号设计有指导作用．     

2-D广义系统的特征多项式配置

利用代数几何方法，研究具有多输入的2-D广义系统Roesser模型的特征多项式系数的任意配置问题．通过引入恰当形式的状态反馈，消除了2-D广义系统的无穷远极点，得到了相应的闭环系统．以代数几何方法为工具，将此闭环系统的特征多项式配置问题转化为判别有理映射是否为到上的，推导出多输入的2．D广义系统Roesser模型由状态反馈几乎任意配置特征多项式系数的充分条件．利用此方法同样可对基于输出反馈的特征多项式配置问题进行研究，并给出了2-D广义系统由输出反馈几乎任意配置特征多项式系数的充分条件，从而丰富和发展了多输入情况下的2-D广义系统特征多项式配置的理论．     

最小方差调节律参数灵敏度分析

探讨了最小方差调节规律参数灵敏度问题．给出了最小方差调节律参数灵敏度的精确描述,推导出标么化参数灵敏度的计算公式并进行了分析．结果表明方差目标函数(ISE)对控制器参数在最优参数附近宽范围内变化不敏感,为最小方差调节器的降阶设计提供了理论依据;适当配置系统闭环极点,能使系统近似ISE最优并具有较强的扰动抑制能力;仿真实验证明,适当配置了闭环极点的系统在噪声和扰动的双重作用下,性能良好．     

低压电网通信信道的理论分析

研究了低压电网通信信道的时变脉冲响应，以线性系统理论为基础，从电力网络中电磁波的传播模式着手，根据信号多径传播的实际特点，推导出了低压电网信道的时变脉冲响应，然后从实际情况出发，利用实际通信系统分辨率有限的条件，得到了脉冲响应的离散形式，有利于进行实验测量和计算机仿真模拟。     

基于预测状态空间实现的前馈GPC及其应用

在ＣＡＲＩＭＡ模型基础上，推导出预测状态空间实现．建立了预测状态与系统模型结构参数之间的直接关系，并据此得出前馈ＧＰＣ控制律，形成递推算法     

一种模型参考自适应控制系统设计方法

提出一种基于精确模型匹配技术的自适应控制系统设计方法,使可调系统闭环传递函数与参考模型一致,利用李亚普诺夫稳定性理论推导出可调参数的自适应规律,它不用求广义误差的各阶导数,它不需要引入增广误差信号或正实概念,结构简单,易于实现。     

恒定磨削力PID控制器的设计与仿真

针对磨削加工中,砂轮磨损引起磨削力升高从而影响磨削精度这一现象,采用Matlab仿真工具设计了磨削力模糊PID控制系统,并对该系统进行了恒力控制,分析了它的性能和精度．     

基于Web服务器的机电运控系统代理软件设计

通过对Web服务器的研究,结合高速公路现有机电设备及管理现状,提出了一种在Linux环境下基于Web服务器的机电系统运控代理软件设计思想。介绍了该运控软件的模块构成、工作原理及流程,详述了该软件中Web服务器、HTTP(超文本传输协议)动态页面、socket通信、交叉编译、定时轮询等相关技术。通过仿真,验证了代理软件设计的可行性。     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

海南岛地体及其毗邻陆缘晚中生代—新生代古地磁研究和构造演化

本文叙述了对海南岛及其毗邻大陆边缘白垩纪到第四纪地层岩石进行古地磁研究的全部工作过程。通过分析岩石中剩余磁矢量的磁偏角及磁倾角的变化,提出海南岛白垩纪以来经历的构造演化模式如下:早期伴随顺时针旋转而向南迁移,后期伴随逆时针转动并向北运移。联系该地区及邻区的地质、地球物理资料,对海南岛上述的构造地体运动提出以下认识:北部湾内早期有一拉张作用,主要是该作用使湾内地壳显著伸长减薄,形成北部湾盆地。从而导致了海南岛的早期构造运动,而海南岛后期的构造运动则主要是受南海海底扩张的影响。海南地体运动规律的阐明对于了解北部湾油气盆地的形成演化有重要的理论和实际意义。     

Exciton Seebeck in Molecular Systems

Various applications relevant to the exciton dynamics,such as the organic solar cell,the large-area organic light-emitting diodes and the thermoelectricity,are operating under temperature gradient.The potential abnormal behavior of the exicton dynamics driven by the temperature difference may affect the efficiency and performance of the corresponding devices.In the above situations,the exciton dynamics under temperature difference is mixed with     

Achieving Unusual States of Matter Under High Pressure

The elongation method,originally proposed by Imamura was further developed for many years in our group.As a method towards O(N)with high efficiency and high accuracy for any dimensional systems.This treatment designed for one-dimensional(ID)polymers is now available for three-dimensional(3D)systems,but geometry optimization is now possible only for 1D-systems.As an approach toward post-Hartree-Fock,it was also extended to     

《Chinese Science Bulletin》SUBJECT INDEX TO VOLUME 59(2014)

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An on-line scaling method for improving scalability of a database cluster

The explosive growth of the Internet and database applications has driven database to be more scalable and available, and able to support on-line scaling without interrupting service. To support more client's queries without downtime and degrading the response time, more nodes have to be scaled up while the database is running. This paper presents the overview of scalable and available database that satisfies the above characteristics. And we propose a novel on-line scaling method. Our method improves the existing on-line scaling method for fast response time and higher throughputs. Our proposed method reduces unnecessary network use, i.e. , we decrease the number of data copy by reusing the backup data. Also, our on-line scaling operation can be processed parallel by selecting adequate nodes as new node. Our performance study shows that our method results in significant reduction in data copy time.     

An improved R-tree based on childnode''s probability

R-Tree is a good structure for spatial searching. But in this indexing structure,either the sequence of nodes in the same level or sequence of traveling these nodes when queries are made is random. Since the possibility that the object appears in different MBR which have the same parents node is different, if we make the subnode who has the most possibility be traveled first, the time cost will be decreased in most of the cases. In some case, the possibility of a point belong to a rectangle will shows direct proportion with the size of the rectangle. But this conclusion is based on an assumption that the objects are symmetrically distributing in the area and this assumption is not always coming into existence. Now we found a more direct parameter to scale the possibility and made a little change on the structure of R-tree, to increase the possibility of founding the satisfying answer in the front sub trees. We names this structure probability based arranged R-tree (PBAR-tree).