具有四个状态的系统解的半离散化

针对具有四个状态系统所建立的模型的修复率μi(x)(i=2,3)用初等阶梯函数进行逼近,给出了系统的半离散化模型,为进一步数值计算打下理论基础.     

两不同部件并联可修系统解的半离散化

对两不同部件并联可修系统中的修复率μi(x)进行初等阶梯函数逼近给出了系统半离散化模型,为进一步数值计算打下理论基础.     

模糊环境下零售商竞争的供应链协调研究

本文对模糊环境下两个竞争零售商供应链系统的最优决策及协调问题进行了研究。首先分析比较了在一体化决策和分散化决策下受模糊变量影响的两竞争零售商的最优决策,然后提出了收益共享契约协调模型,并通过模型求解得到了收益共享契约成立的条件,结果表明收益共享契约成立不仅与收益参数有关,还与生产成本c、需求价格弹性系数βi(i=1,2)和市场规模ai(i=1,2)的期望值以及生产成本c和竞争对手需求价格弹性β2的乐悲观值有关。最后通过数值实验分析了收益参数及模糊变量取值对收益共享契约模型中供应链系统各成员期望利润的影响。     

停时折扣总报酬以分布最优模型

从实际需要出发,林元烈提出了以分布最优模型,作者在[1]基础上考虑更广泛的模型. 假定在时刻t=1,2,3,…处观察系统.该模型由如下意义的五重体(S,(A(i),i∈S),q,r,v)组成。其中S是所有状态组成的Polish空间,H为失效集,H=S-H为工作集.A(i)(i∈S)为状态i可用的行动集且有限.q是系统状态的齐次转移律。r(·,·)是定义在S×A上的单值实函数且0≤r(·,·)≤M,其中M是一正数.目标函数V_i(π,x)是定义在∏×S×R上的单值实函数,其中∏是全体策略集.     

具有易损坏储备部件复杂可修系统解的半离散化

讨论了易损坏部件对系统的影响,且故障系统的修复时间是任意分布的.并对修复率μi(x)用初等阶梯函数进行逼近,给出了系统的半离散化模型,为进一步的数值计算打下基础.     

一类非线性连续分布时滞系统的周期正解

研究一类非线性周期连续时滞传染病模型ny′i(t)=-αi(t)yi(t)+(ci(t)-yi(t))∑j=1βij(t∫)0-TKj(s)yj(t+s)ds,i=1,2,…,n作者主要讨论了该传染病模型的周期正解的全局存在性,运用重合度延拓理论证明了该模型至少存在一个满足容许值的ω-周期正解.     

Gauss—Markoff估计的协方差改进形式及其在SUR模型中的应用

本文采用并推广Rao[1]的协方差改进原理，证明了线性模型（1．1）的Gauaa－Markoff估计（1．2）具有协方差改进形式＝（X′X）－1X′Y－（X′X）－1X′VN［NVN］＋NY，其中N＝I－X（X′X）－1X′．这一结果用于SUR系统yi＝Xiβi＋εi（i＝1，2，…，m），容易得到Zellner两步估计的有限样本性质．本文得到了一类系统的有限样本方差结果，从而完善了一些已有结果．     

折扣马氏决策规划的方差最小最优策略问题

对折扣目标马氏决策规划,Derman 讨论了状态空间 S 可列、措施集 A_i(i∈S)均有限且报酬 r 有界时的最优策略问题.Harrison 提出了 S、A_i(i∈S)均可列的一种r 无界模型.文献[3]改进了 Harrison 条件提出报酬函数绝对平均相对有界模型,它是指存在一个常数 d>0和{r(i)>0,i∈S},r(i)有限,对一切 l∈S,a∈A_l 均有:i)|r(l,a)|≤r(l)<+∞;ii)∑q(j|l,a)r(j)≤r(l)+d.指出对于这个模型,当 S、     

半参数回归模型的误差方差的小波估计

考虑半参数回归模型y i=x i' β +g(t i)+e i,1 i n,其中β∈R d为未知参数,g(t)为[0,1]上的未知Borel函数,x i为R d上的随机设计, {e i}为i.i.d.随机误差. 本文构造了误差方差σi 2=var (e i)的小波估计 n 2,得到了 n 2的渐近正态性, 同时构造了var(e i 2)的小波估计 n 2,并且证明了 n 2的弱相合性, 由此可知 依分布收敛于N(0,1), 这一结果可用于构造σ 2的大样本区间估计或对σ 2进行大样本检验.     

一个传染病模型的周期正解

研究一类非线性周期连续时滞传染病模型y■i(t)=-αi(t)yi(t) (ci(t)-yi(t))∑nj=1βij(t)∫0-TKj(s)yj(t s)ds(i=1,…n).讨论了该传染病模型的周期正解的存在唯一性,运用算子的不动点理论,在一组条件下详细证明了该模型存在唯一的满足容许值的ω-周期正解。     

具有热储备的可修复平行系统解的半离散化

针对具有热储备的可修复平行系统模型中修复率U(X)用初等阶梯函数进行逼近,给出了系统的半离散化模型,进一步为数值计算打下了理论基础.     

一类具有可修复储备部件的人-机系统解的半离散化

针对一个具有两个运行部件和一个储备部件,考虑系统通常故障的发生,且系统故障修复时间服从一般分布的人-机系统模型,对系统模型中修复率用初等阶梯函数进行逼近,给出了系统的半离散化模型,为进一步数值计算打下理论基础.     

具有内部构造安全保障体系的冗余机器系统的解的半离散化分析

对具有内部构造安全保障体系的冗余机器系统中的修复率μ(x)用初等阶梯函数方法进行逼近,并给出了系统的半离散化模型,为进一步数值计算打下基础.     

货币供给动态调控模型及其稳定性

根据我国货币政策传导机制并结合目前经济金融形势,建立了货币供给系统的一般动态模型,为了便于分析系统的稳定性,在此基础上建立前向离散货币供给系统简化模型并用经济控制论的方法分析了系统的稳定性。     

Model of traffic flow and blocking probability analysis of an m-asymmetrical two stage incomplete link system

In the first part of this study we present and review a simplified model for the traffic flow between the switches of a modular switching system. In the second part, an approximated model for calculating the blocking probability on a system with this type of architecture is presented and then generalized to a structure here defined as an m-asymmetrical incomplete link system. The model is based on the probabilistic hypothesis of Jacobaeus and leads to a system of formulae which may be calculated using a computing language allowing for recursive subprograms.     

对我国金融监管运行机制的博弈分析

本文介绍了我国金融监管运行机制的现状,建立了金融监管的分析模型,依据模型对金融监管运行机制进行了博弈分析。在此基础上,提出了完善我国金融监管制度的三点政策建议。     

Asymptotic behavior of repairable device systems under warranty and beyond warranty periods

Positivity - In this paper, we present a new mathematical model generalizing the model of a single unit repairable device system, with preventive maintenance under warranty period, and the model of...     

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.     

Approximate reduction of non-linear discrete models with two time scales

The aim of this work is to present a general class of nonlinear discrete time models with two time scales whose dynamics is susceptible of being approached by means of a reduced system. The reduction process is included in the so-called approximate aggregation of variables methods which consist of describing the dynamics of a complex system involving many coupled variables through the dynamics of a reduced system formulated in terms of a few global variables. For the time unit of the discrete system we use that of the slow dynamics and assume that fast dynamics acts a large number of times during it. After introducing a general two-time scales nonlinear discrete model we present its reduced accompanying model and the relationships between them. The main result proves that certain asymptotic behaviours, hyperbolic asymptotically stable (A.S.) periodic solutions, to the aggregated system entail that to the original system.