Process capability analysis and estimation scheme for autocorrelated data

<正>Autocorrelation is prevalent in continuous production processes,such as the processes in the chemical and pharmaceutical industries.With the development of measurement technology and data acquisition technology,sampling frequency is getting higher and the existence of autocorrelation cannot be ignored.This paper analyzes five estimation schemes of process capability for autocorrelated data.Comparisons among these schemes are discussed for small sample and large sample.In conclusion,this paper gives a procedure of process capability analysis for autocorrelated data.     

Spectral Properties and Positivity of Flows in Infinite Networks with Dynamic Boundary Control Nodes

In this paper we study transport processes on infinite networks with dynamic boundary control nodes. These flows can be modeled by operator semigroups on a suitable Banach space. Using functional analytical and graph theoretical methods, we investigate its spectral properties of the system and positivity of the semigroup under appropriate assumptions on the network.     

Robust H∞ filtering for discrete-time systems with Markovian switching and time-delays

The robust H∞ filtering problem for uncertain discrete-time Markovian jump linear systems with modedependent time-delays is investigated. Attention is focused on designing a Markovian jump linear filter that ensures robust stochastic stability while achieving a prescribed H∞ performance level of the resulting filtering error system, for all admissible uncertainties. The key features of the approach include the introduction of a new type of stochastic Lyapunov functional and some free weighting matrix variables. Sufficient conditions for the solvability of this problem are obtained in terms of a set of linear matrix inequalities. Numerical examples are provided to demonstrate the reduced conservatism of the proposed approach.     

A multiyear lags input-holding-output model on education with excluding idle capital

This paper develops a multi-year lag Input-Holding-Output (I-H-O) Model on education with exclusion of the idle capital to address the reasonable education structure in support of a sustainable development strategy in China. First, the model considers the multiyear lag of human capital because the lag time of human capital is even longer and more important than that of fixed capital. Second, it considers the idle capital resulting from the output decline in education, for example, student decrease in primary school. The new generalized Leonitief dynamic inverse is deduced to obtain a positive solution on education when output declines as well as expands. After compiling the 2000 I-H-O table on education, the authors adopt modifications-by-step method to treat nonlinear coefficients, and calculate education scale, the requirement of human capital, and education expenditure from 2005 to 2020. It is found that structural imbalance of human capital is a serious problem for Chinese economic development. This research was supporting by the Key Project of National Natural Science Foundation of China under Grant No. 60874119, Innovation Funds of Chinese Academy of Sciences, Research Fund for Humanities and Social Sciences in colleges under Grant No. 06BJY102, Key project in Jiangxi Soft Science Project under Grant No. [2006]188, Jiangxi Research Fund for Humanities and Social Sciences in colleges under Grant No. 03JJ01, and Henan Research Fund for Humanities and Social Sciences in colleges under Grant No. 2008-ZD-002.     

Design and performance analysis of networked control systems with random delay

The design and performance analysis of networked control systems with random network delay in the forward channel is proposed, which are described in a state-space form. A new control scheme is used to overcome the effects of network transmission delay, which is termed networked predictive control (NPC). Furthermore, three different ways to choose control input are discussed and the performances are analyzed, respectively. Both real-time simulations and practical experiments show the effectiveness of the control scheme.     

Performance comparison of distributed state estimation algorithms for power systems

A newly proposed distributed dynamic state estimation algorithm based on the maximum a posteriori (MAP) technique is generalised and studied for power systems. The system model involves linear time-varying load dynamics and nonlinear measurements. The main contribution of this paper is to compare the performance and feasibility of this distributed algorithm with several existing distributed state estimation algorithms in the literature. Simulations are tested on the IEEE 39-bus and 118-bus systems under various operating conditions. The results show that this distributed algorithm performs better than distributed quasi-steady state estimation algorithms which do not use the load dynamic model. The results also show that the performance of this distributed method is very close to that by the centralized state estimation method. The merits of this algorithm over the centralized method lie in its low computational complexity and low communication load. Hence, the analysis supports the efficiency and benefits of the distributed algorithm in applications to large-scale power systems.     

半主动空气弹簧悬挂系统控制策略及仿真分析

随着铁路不断提速，对车辆运行品质的要求也越来越高。半主动控制技术在机车车辆上的应用为进一步提高机车车辆动力学性能进而提高其运行品质开辟了新的途径。包括空气弹簧的二自由度悬挂系统的控制策略进行分析，结合控制策略提出了一套以调节空气弹簧节流孔直径从而改变悬挂系统阻尼为目的的半主动控制方案，运用计算机软件SIMULINK对半主动控制空气弹簧悬挂系统进行了仿真。研究结果表明，运用半主动控制技术可以得到更好的空气弹簧悬挂参数，提高整个悬挂系统的减振性能以改善车辆运行平稳性。     

一类G-框架及其对偶的若干性质

在一个新的Hilbert空间上定义了G-框架及G-对偶框架,并且讨论了他们的性质,改进和推广了其他学者的成果.     

12CaO·7Al2O3型精炼合成渣物性与脱硫试验

对近两年从国外发展起来的新型精炼合成渣 12 Ca O· 7Al2 O3的烧成工艺、物性和脱硫能力进行了试验研究。结果表明 ,该渣系原料来源广泛 ,成本较低 ;以 12 Ca O· 7Al2 O3为低熔点相 ,具有较低的熔化温度 ,在精炼温度下具有较好的流动性 ;由于具有很高的碱度和 Al2 O3含量 ,因而具有较强的脱硫能力和吸附铝脱氧产物的能力 ,并且在精炼过程中还可配加大量石灰 ,进一步提高其脱硫能力 ,尤其适用于铝脱氧钢     

探讨水闸电气设备控制系统应用

随着对水力资源的开发与利用的逐步重视,许多水利工程已完成或正在兴建.文章详细介绍了电气控制中的常用一、二次回路和二合一精密行程开关;闸门开度传感器;闸门开度数显控制仪;水位传感器和水位仪的工作原理及计算机在水闸中的应用.