一个供应链系统的可靠性模型的适定性分析

供应链系统是一个复杂的动态系统,许多影响因素的存在,使得供应链系统具有强烈的随机性,从而直接影响供应链系统的可靠性,我们通过分析供应链系统的状态之间的转移关系,引入增补变量法,用偏微分方程组建立了供应链系统的可靠性模型,并对该模型系统解的存在唯一性进行了讨论和证明.     

内部输入带不同时滞的Timoshenko梁的指数稳定性

研究了内部输入带不同时滞的Timoshenko梁的指数稳定性.利用Smith预估器的思想,对部分状态进行预估可得无时滞系统.对无时滞系统设计控制器,得到闭环系统.通过讨论闭环系统的稳定性及原时滞系统和无时滞系统的误差系统的指数衰减,最终得出原系统的指数稳定性.     

Bresse系统的内部时滞控制器的设计

研究具有内部分布时滞控制的Bresse系统镇定问题.目标是设计反馈控制器使得闭环系统指数稳定.不同于以前的控制器设计方法,文章采用系统反馈等价方法,通过设计目标系统,应用系统等价方法寻找反馈控制律.利用具有奇异积核的积分变换,实现了当前控制系统与目标系统的等价.所应用的方法克服了通常反馈控制闭环系统的稳定性分析的困难.     

具有早期活化储备的可修复系统的解的稳定性分析

研究了具有早期活化储备的可修复系统的解的性态,通过研究系统算子的谱点的分布和求解系统算子的共轭算子进而得到系统的解的渐进稳定性.     

具有多重极限环的微分系统的近似系统

本文利用Ｈａｍｉｔｏｌｎ系统的扰动系统得到了构造具有多重极限环的微分系统的近似系统的一种系统并举出了一些具体例子。     

线性离散事件动态系统的可达性

可达性是动态系统的重要性质之一。本文讨论离散事件动态系统的可达性,给出了系统完全可达的充要条件,得到了利用系统的特征矩阵判断系统可达性的判据,证明了系统可按可达性进行分解、状态反馈不影响系统可达性等结论,还进一步讨论了一类流水线生产加工系统的可达性,本文的结果对于这类系统的分析和控制是有意义的。     

加权演化的港口网络模型的研究

港口系统的发展、演化对国民经济的繁荣发展起着至关重要的作用,因此如何定量地描述港口系统的发展、演化规律也就显得尤为关键,由此出发,从整体论的角度把港口系统作为一个整体来进行系统研究,利用复杂网络的特性,提出了一个真实的随时间演化的港口系统发展、演化模型,该模型能够有效地再现实际港口系统的一些统计特性,这些特性对于了解港口系统的运行状态和对于港口容错能力的优化将具有十分重要的意义.     

基础模糊命题演算系统BL~*的改进系统

基础模糊命题演算系统BL*是一个和基础命题演算系统BL相对独立的命题演算系统。命题演算系统L*是系统BL*的扩张,但不是系统BL的扩张。通过对系统BL*及其它模糊命题演算系统的研究,本文对BL*系统进行了修正,进一步改进了BL*系统中的公理体系。     

具有F性质系统的拓扑熵和熵维数的关系

对于紧度量空间上的Lipschitz系统,拓扑熵中存在一个经典的上界,即拓扑熵小于等于熵维数和Lipschitz常数的对数的乘积.提出了一类具有F性质的系统,该系统是一类比Lipschitz系统和H(o)lder系统更为一般的系统,最后得到系统(X,f)具有F性质时Ghys猜想成立的充要条件.     

工业化住宅的系统工程

本论述了工业化住宅的系统工程特点，建立了工业化住宅系统的集成模型，分析了该系统目标，系统形成的组织结构、系统优化控制、虚拟现实的系统仿真及系统评价等问题，提出了实现住宅建筑工业化应注意的技术问题。     

ETSK模糊模型辨识及模糊控制算法

本文提出一种基于扩张原理的ＥＴＳＫ（ＥｘｔｅｎｄｅｄＴＳＫ）模型,导出了该模型的输入输出解析式,给出了辨识这种模型的方法。本文还导出了ＥＴＳＫ模型的一种等价形式——变权ＴＳＫ模型,从而将ＥＴＳＫ模型规则后件中的模糊数及其扩展运算转化为普通数的运算,使基于ＥＴＳＫ模型的模糊控制算法ＭＢＦＣ（Ｍｏｄｅｌ－ＢａｓｅｄＦｕｚｚｙＣｏｎｔｒｏｌ）易于实现。仿真辨识结果表明,ＥＴＳＫ模型的辨识效果和预报精度优于ＴＳＫ和ＬＭ模型;ＭＢＦＣ算法的控制效果优于通常模型ＰＩ控制算法     

基于倒箱移动路径的集装箱堆场提箱作业优化模型

集装箱堆场提箱作业优化的目标是通过对倒箱搬运过程的优化使总作业成本最小。本文分析了正面吊设备的提箱作业过程,对作业规则和约束建立数学模型,在分析倒箱移动路径的基础上,提出了提箱作业优化模型。该模型为两层嵌套的组合优化模型,外层子模型针对提箱订单实现倒箱策略优化;内层子模型针对每一步倒箱作业寻找使倒箱作业成本最小的移动路径。提出了求解该模型的算法流程。最后,通过数值算例验证了优化模型的有效性。与传统人工作业方式的比较结果表明:本优化模型能够明显降低提箱作业成本。     

The Development of a Mathematical Model of the Operations of a National Glass Manufacturer

In this paper, a mathematical model of the entire operations of a national glass manufacturer is developed. This includes the float glass manufacture, distribution, storage operations and the technical considerations dictated by the plant as well as the operating procedures. The model is initially for a planning year, and is generated from a ‘monthly model’. This monthly model interconnects with other monthly models primarily via stock flows. The mathematical model is formulated in a unique way that allows certain production aspects to be modelled using a ‘pseudo-continuous’ time frame, rather than a discrete one. The generation of the overall model (as a mixed integer linear programming problem) and its solution is also discussed.     

修正的GM(1,1)残差模型在原煤销售量预测中的应用

本论研究的是提高灰色预测模型的一种方法。首先建立主模型进行预测，得到残差序列，然后对残差序列建模，对主模型进行修正，得到修正的GM(1，1)模型。将模型应用到原煤销售量的预测中，其精度明显提高。     

保险系统中一种推广风险模型的破产概率

将经典复合 Poisson风险模型推广至更为一般情况 ,其中保单以 Poisson分布流到达且收取的保费为随机变量 ,建立一种双复合 Poisson风险模型 .对此模型 ,得到了最终破产概率的一般表达式和破产概率的一个上界估计值 .     

Local asymptotic admissibility of a generalization of Akaike's model selection rule

Summary A model selection rule of the form minimize [−2 log (maximized likelihood)+complexity] is considered, which is equivalent to Akaike's minimum AIC rule if the complexity of a model is defined to be twice the number of independently adjusted parameters of the model. Under reasonable assumptions, when applied to a locally asymptotically normal sequence of experiments, the model selection rule is shown to be locally asymptotically admissible with respect to a loss function of the form [inaccuracy+complexity], where the inaccuracy is defined as twice the Kullback-Leibler measure of the discrepancy between the true model and the fitted version of the selected model. This research was supported by NSF Grant No. MCS 80-02732.     

Neural net versus classical models for the detection and localization of leaks in pipelines

Four models of a pipeline are compared in the paper: a nonlinear distributed-parameter model, a linear distributed-parameter model, a simplified lumped-parameter model and an extended neural-net-based model. The transcendental transfer function of the linearized model is obtained by a Laplace transformation and corresponding initial and boundary conditions. The lumped-parameter model is obtained by a Taylor series extension of the transencdental transfer function. Based on the experience of linear models the structure of the neural net model, as an addendum to the nonlinear distributed-parameter model, is obtained. All four models are tested on a real pipeline data with an artificially generated leak.     

Enhancing the generality of fuzzy relational models for control

A promising area of research in fuzzy control is the model-based fuzzy controller. At the heart of this approach is a fuzzy relational model of the process to be controlled. Since this model is identified directly from process input-output data it is likely that ‘holes’ will be present in the identified relational model. These holes are real problems when the model is incorporated into a model-based controller since the model will be unable to make any predictions whatsoever if the system drifts into an unknown region. The present work deals with the completeness of the fuzzy relational model which forms the core of the controller. This work proposes a scheme of post-processing to ‘fiil in’ the fuzzy relational model once it has been built and thereby improve its applicability for on-line control. A comparative study of the post-processed model and conventional relational model is presented for Box-Jenkins data identification system and a real-time, highly non-linear application of pH control identification.     

Mathematical analysis of a model for the transmission dynamics of bovine tuberculosis

A deterministic model for studying the transmission dynamics of bovine tuberculosis in a single cattle herd is presented and qualitatively analyzed. A notable feature of the model is that it allows for the importation of asymptomatically infected cattle (into the herd) because re‐stocking from outside sources. Rigorous analysis of the model shows that the model has a globally‐asymptotically stable disease‐free equilibrium whenever a certain epidemiological threshold, known as the reproduction number, is less than unity. In the absence of importation of asymptomatically infected cattle, the model has a unique endemic equilibrium whenever the reproduction number exceeds unity (this equilibrium is globally asymptotically stable for a special case). It is further shown that, for the case where asymptomatically infected cattle are imported into the herd, the model has a unique endemic equilibrium. This equilibrium is also shown to be globally asymptotically stable for a special case. Copyright © 2011 John Wiley & Sons, Ltd.