随机马尔可夫跳跃系统的输出反馈镇定

针对不确定随机马尔可夫跳跃系统,研究其静态输出反馈控制问题.目的在于寻找输出反馈控制器使得闭环系统均方稳定.通过Lyapunov函数方法以矩阵不等式形式建立了这类系统输出反馈可镇定的充分条件;采用替换LMI(linear matrix inequality)方法给出了这些非线性矩阵不等式的一种解法,并给出了静态反馈控制律的求解算法.仿真算例说明所给方法的有效性.     

目标控制在施工项目管理中的运用

施工项目是建安企业建筑安装产品的施工过程及成果。施工项目管理水平的高低将会直接影响到企业的经济效益。本文就如何利用“目标控制”对项目各个阶段进行管理作出了分析和探讨,总结出施工项目管理中的一般原则和步骤。     

光学头力矩器的工艺因素对其动态性能的影响

为提高光学头力矩器在大规模生产条件下的性能一致性,研究了力矩器生产过程中7种工艺因素误差对力矩器动态性能参数的影响。以有限元仿真并结合田口实验设计方法和数学统计原理,分析得出:悬线竖直预变形量对扭转共振频率的影响贡献率为72.4%,永磁铁轴向安装误差对扭转共振峰值和偏转共振峰值的影响贡献率分别为51.9%和58.1%,永磁铁水平安装误差对物镜倾角的影响贡献率为93.6%。结果表明,悬线竖直预变形量与永磁铁水平、轴向安装误差属于关键工艺因素,生产中应重点控制。     

20MnSi钢筋冷却的淬透层深度

通过数值方法求解20MnSi钢筋在线冷却过程中的温度场，进而求得组织场，并分析了各控冷工艺参数对20MnSi钢筋在线冷却过程中的淬透层深度的影响．结果表明：组织场的实验结果与计算结果符合较好，可以通过调整控冷工艺参数控制淬透层深度，为得到高强钢筋需要增大冷却水量，降低冷却水温；钢筋端面单元剖分的粗细会影响计算结果，使淬透层深度与控冷工艺参数之间呈阶跃式变化．     

关联规则挖掘算法及其在冷轧生产中的应用

针对Apriori算法在实际应用中无法发现关联规则变化趋势的问题,该文根据增量挖掘算法的优点对Apriori算法进行了改进。改进的Apriori算法能够在原算法的基础上,通过关联规则统计量的变化确定强规则与候选规则之间的转换,从而进一步发现关联规则的变化趋势,提高了依靠Apriori算法得到的关联规则对决策分析支持的可靠性。将改进算法应用于冷轧生产过程预测中,试验结果表明,改进算法相对于传统的Apriori算法对产量预测的精度提高了30%。     

2-[(2,6-二氯苯基)氨基]苯乙酸钾的合成

以苯胺和氯乙酰氯为起始原料,合成2-[(2,6-二氯苯基)氨基]-苯乙酸钾,并对反应的工艺进行优化,确定了反应条件,总收率为75.8%。关键中间体及最终化合物的结构经核磁共振氢谱及碳谱得到确证。新工艺做法简单,成本低,适于工业生产。     

Problems in wavelet analysis of hydrologic series and some suggestions on improvement

Applying the wavelet theory and methods to investigate the hydrologic processes such as precipitation and runoff is a hot field. However, several aspects in research are usually ignored: the effect of admissible condition of wavelet functions and the disturbance of noises for the detection of periods, the effect of the length of a hydrologic time-series on the final result, and the choice between the anomaly and the original time series for wavelet analysis. In this paper, these issues are fully discussed. Precipitation data from Lanzhou Precipitation Station are taken for case study. The result indicates that in the wavelet analysis of hydrologic series, denoise methods should be used to eliminate the influence of noises. The MexHat wavelet function satisfies the admissible condition, which ensures that the periodic properties of hydrologic processes can be well represented by using the MexHat wavelet for decomposition. The affected range of hydro-logic series which should be discarded before analysis is given. It is also suggested that the anomaly series should be used to highlight the actual undulation of the hydrologic series.     

STO公司ERP实施过程研究

ERP系统是每一个现代制造企业不可缺少的管理工具.作者以亲身经历,描述了上海申得欧有限公司的ERP项目实施的过程,包括项目的准备,项目的实施,项目的后续跟踪等.并总结和反思了整个项目的成功之处以及需要改进的地方.     

A Large Deviation Principle for the Risk Process with Varying Premium

Let u ∈ R ,for any ω 〉 0, the processes X^ε = {X^ε（t）; 0 ≤ t≤ 1} are governed by the following random evolution equations dX^ε（t）= b（X^ε（t）,v（t））dt-εdSt/ε, where S={St; 0≤t≤1} is a compound Poisson process, the process v={v（t）; 0≤t≤1} is independent of S and takes values in R^m. We derive the large deviation principle for{（X^ε,v（.））; ε〉0} when ε↓0 by approximation method and contraction principle, which will be meaningful for us to find out the path property for the risk process of this type.     

Convergence of Recursive Identification for ARMAX Process with Increasing Variances

The autoregressive moving average exogenous (ARMAX) model is commonly adopted for describing linear stochastic systems driven by colored noise. The model is a finite mixture with the ARMA component and external inputs. In this paper we focus on a parameter estimate of the ARMAX model. Classical modeling methods are usually based on the assumption that the driven noise in the moving average (MA) part has bounded variances, while in the model considered here the variances of noise may increase by a power of log n. The plant parameters are identified by the recursive stochastic gradient algorithm. The diminishing excitation technique and some results of martingale difference theory are adopted in order to prove the convergence of the identification. Finally, some simulations are given to show the reliability of the theoretical results.