The research of adaptive sliding mode controller for motor servo system using fuzzy upper bound on disturbances

Considering sliding mode control (SMC) method using the estimation of upper bound on disturbances in motor servo system, if the upper bound is underestimated, the position tracking precision is poor. Contrarily, the control input is overlarge and even chatters violently. To solve the above problems, an adaptive sliding mode controller (ASMC) is proposed. It utilizes a fuzzy decision maker (FDM), which exports the estimation of upper bound on disturbances according to the information of position tracking error and control input. The computer simulations on a dc motor present that the proposed method guarantees satisfactory position tracking accuracy and the chattering at control input is evidently suppressed. Moreover, the output of FDM is sensitive to the changes of disturbances realtimely and precisely. Subsequently, the proposed scheme possesses strong robust performance against disturbances in motor servo system.     

The calcium-phosphorus and the simultaneous calcium-oxygen and calcium-sulfur equilibria in liquid iron

The equilibrium Ca₃P_2(s) = 3[Ca] + 2[P] was studied at 1600 ° by equilibrating liquid iron, saturated with Ca₃P₂, and contained in a TiN crucible, with Ca vapor. The source of Ca was liquid Ca contained in an Mo crucible, and the vapor pressure of Ca was varied by varying the position of the Mo crucible in the temperature gradient of a vertical tube furnace. A least-squares analysis of the data gave and. The simultaneous equilibria CaO_(s) = [Ca] + [O] and CaS_(s) = [Ca] + [S] were studied at 1600 ° by equilibrating liquid iron, contained in a pressed and sintered CaO-CaS crucible with Ca vapor. The advantage of this technique is that two equilibrium constants,K _cas andK _cao, and two interaction coefficients, and can be determined from one set of experiments. It was determined that, at 1600 °,K _cas = 5.9 × 10⁻⁸ K _cao = 5.5 × 10⁻⁹,, and. Formerly Graduate Students     

基于开源平台的数字图书馆的设计与实现

本文分析数字图书馆的功能需求,对开源平台下的系统进行框架和结构设计,并详细介绍在线服务和客户端程序两部分的实现,提出了构建于快速响应体系架构下实现快速存储,使用Django和第三方搜索引擎实现快速检索,采用高效的LinuxReiser文件系统组织管理数字资源以及应用CRM实现个性化推荐服务。     

一种新颖的低层视觉特征到高层语义的映射方法*

通过在低层视觉特征上提取图像的局部颜色和纹理特征,再利用模糊神经网络建立低层视觉特征和高层语义特征之间的映射,实现了图像属性信息的有效传递和可靠检索.最后,为了提高检索效率,把相关反馈引进到图像检索系统中.实验证明,该方法取得了较好的检索查全率和准确率.     

一种新的动态权重更新相关反馈方法*

提出了正负相关图像所占比例与特征值的标准方差相结合来调整对应权值的方法.为了避免相关反馈的权值调整陷入局部最优状态,引入一个干扰因子,使权值跳出局部最优区域.结果表明了该方法的优越性.     

THE VAPOR PRESSURES OF ANTIMONY IN LIQUID CALLIUM-ANTIMONY ALLOYSS

采用气流输运法测定了720,750及780℃时液态纯Sb及Ga-Sb合金中组分Sb的蒸气压。由蒸气压的实验数据和Ga-Sb系的T-X相图构成了Ga-Sb系中Sb蒸气压的P-T图。     

浅谈脱硫液中PDS质量浓度测定方法

提出了在以PDS催化剂作为单一的脱硫催化剂时,脱硫循环液中贫富液的PDS质量浓度的测定方法,可有效地指导在脱硫工序投加PDS的操作及生产运行,为确保出脱硫工序煤气中H2S含量稳定控制在20mg/L以内奠定了基础。     

[Cu_2(Gly—GlyO)_2(OH)_2(4,4—bpy)]·9H_2O配合物合成、晶体结构研究

采用Gly—GlyOH,4,4＇—联吡啶与Cu(NO_3)_2·H_2O在二次水溶液中反应,合成出以4,4＇—bpy为中继基,Gly—Glyo为螯环新型双核铜配合物。经X射线单晶结构分析确定该配合物品体的化学结构式:[(H_2NCH_2CONHCH_2COO) Cu(OH) (C_(10)H_8N_2)Cu(OH) (H_2NCH_2CONHCH_2COO)]·9H_2O.晶体属于三斜晶系,P_空间群,晶胞参数a=1.1412nm,b=1.2298nm,C=1.4269nm,α=113.82°,β=101.91°,y=103.64°,V=1.6747nm~3,Z=2。衍射数据是在Nicolet XRD R3型四圆衍射仪上收集,结构参数经块矩阵最小二乘法精修后,最终一致性因子R值为0.068,RW值为0.057。     

FLOCCULATION OF KAOLIN SUSPENSION OF ISOTACTIC-AND ATACTIC-POLY(N-PROPYL-2-VINYLPYRIDINIUM BROMIDE)

Isotactic-and atactic-poly(N-propyl-2-vinylpyridinium bromide)QIP2VP and QAP2VP were used asflocculants for kaolin suspension.The effects of their molecular structure of floeculation were studied.Theresults are as follows:(1)The ability of flocculation of QAP2VP is better than that of QIP2VP.(2)The flocculating efficiency of QAP2VP,but not QIP2VP,increased as the molecular weight in-creased.(3)In the range of lower degree of quaternization,the efficiency of flocculation increased as thedegree of quaternization of flocculants decreased.(4)An abnormal phenomenon,which is considered as the“homocharge stabilization”,was discoveredat a certain concentration of flocculants.(5)An equation of the relationship among the experimental parametars,such as sedimentation rate,sedimentation volume and turbidity,was derived.     

Know by a handful the whole sack: efficient sampling for top-k influential user identification in large graphs

Influence Maximization aims to find the top-K influential individuals to maximize the influence spread within a social network, which remains an important yet challenging problem. Most existing greedy algorithms mainly focus on computing the exact influence spread, leading to low computational efficiency and limiting their application to real-world social networks. While in this paper we show that through supervised sampling, we can efficiently estimate the influence spread at only negligible cost of precision, thus significantly reducing the execution time. Motivated by this, we propose ESMCE, a power-law exponent supervised Monte Carlo estimation method. In particular, ESMCE exploits the power-law exponent of the social network to guide the sampling, and employs multiple iterative steps to guarantee the estimation accuracy. Moreover, ESMCE shows excellent scalability and well suits large-scale social networks. Extensive experiments on six real-world social networks demonstrate that, compared with state-of-the-art greedy algorithms, ESMCE is able to achieve almost two orders of magnitude speedup in execution time with only negligible error (2.21 % on average) in influence spread.