Optimal index shooting policy for layered missile defense system

In order to cope with the increasing threat of the ballistic missile(BM)in a shorter reaction time,the shooting policy of the layered defense system needs to be optimized.The main decisionmaking problem of shooting optimization is how to choose the next BM which needs to be shot according to the previous engagements and results,thus maximizing the expected return of BMs killed or minimizing the cost of BMs penetration.Motivated by this,this study aims to determine an optimal shooting policy for a two-layer missile defense(TLMD)system.This paper considers a scenario in which the TLMD system wishes to shoot at a collection of BMs one at a time,and to maximize the return obtained from BMs killed before the system demise.To provide a policy analysis tool,this paper develops a general model for shooting decision-making,the shooting engagements can be described as a discounted reward Markov decision process.The index shooting policy is a strategy that can effectively balance the shooting returns and the risk that the defense mission fails,and the goal is to maximize the return obtained from BMs killed before the system demise.The numerical results show that the index policy is better than a range of competitors,especially the mean returns and the mean killing BM number.     

基于偏好DEA模型的应急资源优化配置

从应急系统中应急资源的投入产出的整体相对效率考虑, 提出了新的资源优化配置的非参数DEA模型,对应急系统中应急资源总体利用情况进行了评价.在此基础上,考虑到决策者的偏好信息,构造了偏好的DEA资源配置决策模型.最后,通过对一个算例的具体分析,清楚地表明,在资源总量控制的情况下,利用本文提出的非参数偏好DEA模型对应急资源进行统筹安排和合理配置,可以大大提高应急系统的整体相对效率.     

An impact angle constraint integral sliding mode guidance law for maneuvering targets interception

An integral sliding mode guidance law(ISMGL)combined with the advantages of the integral sliding mode control(SMC)method is designed to address maneuvering target interception problems with impact angle constraints.The relative motion equation of the missile and the target considering the impact angle constraint is established in the longitudinal plane,and an integral sliding mode surface is constructed.The proposed guidance law resolves the existence of a steady-state error problem in the traditional SMC.Such a guidance law ensures that the missile hits the target with an ideal impact angle in finite time and the missile is kept highly robust throughout the interception process.By adopting the dynamic surface control method,the ISMGL is designed considering the impact angle constraints and the autopilot dynamic characteristics.According to the Lyapunov stability theorem,all states of the closed-loop system are finally proven to be uniformly bounded.Simulation results are compared with the general sliding mode guidance law and the trajectory shaping guidance law,and the findings verify the effectiveness and superiority of the ISMGL.     

Finite-Time and Fixed-Time Synchronization of Inertial Neural Networks with Mixed Delays

This paper considers the drive-response synchronization in finite-time and fixed-time of inertial neural networks with time-varying and distributed delays(mixed delays). First, by constructing a proper variable substitution, the original inertial neural networks can be rewritten as a first-order differential system. Second, by constructing Lyapunov functions and using differential inequalities,some new and effective criteria are obtained for ensuring the finite-time synchronization. Finally, three numerical examples are also given at the end of this paper to show the effectiveness of the results.     

Timing Prediction Error Volatility and Dynamic Asset Allocation

We solve a portfolio selection,problem in which,return predictability,risk predictability and transaction cost are incorporated.In the problem,both expected return,prediction error volatility,and transaction cost are time-varying.Our optimal strategy suggests trading partially toward a dynamic aim portfolio,which is a weighted average of expected future tangency portfolio and is highly influenced by the common fluctuation of prediction error volatility(CPE).When CPE is high,the investor would invest less and trade less frequently to avoid risk and transaction cost.Moreover,the investor trades more closely to the aim portfolio with a more persistent CPE signal.We also conduct an empirical analysis based on the commodities futures in Chinese market.The results reveal that by timing prediction error volatility,our strategy outperforms alternative strategies.     

Optimal Grading Policies in the Online Acquisition of Used Products

Although online reverse commerce(recommerce)is convenient and efficient,it is not without caveats.It limits recommerce firms’flexibility to offer personalized prices and may cause mismatched grading between the firms and sellers of used products.This study examines a recommerce firm’s decision on grading criteria and prices.We find that the firm’s optimal policy exhibits two distinctly different patterns depending on the trade value of the product.We demonstrate that sellers’overestimate and underestimate errors have qualitatively different effects on firm profitability,and the effects crucially rely on the type of optimal policy.These findings can apprise firms on how to preset sorting criteria and prices as well as reduce grading errors.     

Evolutionary game analysis of problem processing mechanism in new collaboration

This paper analyzes a problem processing mechanism in a new collaboration system between the main manufacturer and the supplier in the"main manufacturer-supplier"mode,which has been widely applied in the collaborative development management of the complex product.This paper adopts the collaboration theory,the evolutionary game theory and numerical simulation to analyze the decision-making mechanism where one upstream supplier and one downstream manufacturer must process an unpredicted problem without any advance contract in common.Results show that both players'decision-makings are in some correlation with the initial state,income impact coefficients,and dealing cost.It is worth noting that only the initial state influences the final decision,while income impact coefficients and dealing cost just influence the decision process.This paper shows reasonable and practical suggestions for the manufacturer and supplier in a new collaboration system for the first time and is dedicated to the managerial implications on reducing risks of processing problems.     

地面站系统服务能力评估指标及其计算方法

针对地面站系统服务能力评估问题,研究了其评估指标及其计算方法.首先从卫星、地面站两个方面建立了地面站系统服务能力评估指标,并就各个指标以及指标的应用进行了分析.然后给出了两种指标计算方法:FCFS(First Come First Service)方法和启发式方法.最后通过实例仿真,表明该指标及方法能够较好的解决地面站系统服务能力评估问题中的是否增建新地面站、是否在某地面站中增加天线等重大决策问题.     

飞机朝后座椅的保护作用模型研究

为了进一步提高民航旅客运输的安全性和减少飞机事故的伤亡率,对飞机座椅朝后这一新概念,从安全防护的改善方面进行了系统分析和定量的描述,建立了冲撞缓冲效果的估算模型,进行了相关的简单试验,并分析了空难幸存案例,从中得出结论,如果把飞机座椅朝后安装,可以主动地、大幅度地提高事故中对人体的防护能力,减少伤害率.另外,通过比较发现,由此带来的改善,并不减少飞机原有的性能指标,也不增加成本和维护的复杂性.最后提出了分级布置飞机客舱座椅的建议,以便保留部分朝前的座椅供一些有偏好的旅客进行选择,使所有的座椅安全性都有所提高,起到了系统优化的作用.此模型为新一代面向用户的飞机设计,提供了一个系统安全分析的基础.     

Metropolis-Hastings自适应算法及其应用

首先阐述Metropolis-Hastings算法实现的具体步骤,然后证明由此产生的Markov链满足细致平衡条件,从而以目标分布为不变分布.接下来给出几个计算实例,以说明提议函数及其方差的选取对采样结果的影响,并由此推出一种改进的自适应算法用以寻找合适的提议函数及其方差.最后,通过贝叶斯Logistic模型的例子说明M-H方法在贝叶斯分析中的应用,同时也检验M-H自适应算法的效果.     

资源、环境与产业转型的复合生态管理

中国环境污染与生态破坏问题的症结在于管理问题 ,其实质是资源代谢在时间、空间尺度上的滞留或耗竭 ,系统耦合在结构、功能关系上的破碎和板结 ,社会行为在经济和生态管理上的冲突和失调 .生态管理科学旨在运用系统工程的手段和生态学原理去探讨这类复合生态系统的动力学机制和控制论方法 ,协调人与自然、经济与环境、局部与整体间在时间、空间、数量、结构、序理间的系统耦合关系 ,使资源得以高效利用 ,人与自然高度和谐 ,环境经济持续发展 .为解决国家、地区及部门重大生态环境问题提供决策支持、科学依据和管理方法 .复合生态系统管理的热点是生态资产、生态健康和生态服务功能管理 .应用生态管理学包括产业生态管理 ,城镇生态管理和区域生态管理 .综述了当前国内外区域生命支持系统管理和产业转型的生态管理方法 ,如生命周期分析、生态足迹分析等 .     

零售商的斯塔克伯格团购博弈分析

团购成员企业在相互合作的同时也相互竞争.论文同时考虑了团购成员的合作与竞争,针对成员先后决策,序贯博弈的情形,研究了两家零售商面对斯塔克伯格团购博弈时的选择以及相应的库存和定价策略,并解出了两家零售商库存、定价的均衡解.研究结果还表明,当两家零售商的市场潜力差距较小,即两家零售商实力更相近时,双方都偏好团购.此外产品替代程度和批量折扣程度会综合影响两家零售商的定价,订购量以及利润,且往往与双方的市场实力差距有关.     

北京SARS仿真模型的参数和初始值的处理

当前对SARS流行过程进行仿真分析是一件非常重要和有意义的工作。在对SARS模型进行仿真和分析时，首先必须要对相关的参数和初始值进行处理，其处理的正确性和准确性直接关系到仿真结果。本文以我们建立的北京地区SARS模型为背景，采用多种方法，系统的分析和处理了模型的相关参数和初始值，并给出了最终结果。     

差异、系统与和谐

有了差异就会有各种事物之间的相互作用,有了相互作用就会有变化和运动。有了变化和运动,才会有不同事物的存在和发展,才能呈现出事物与环境之间一与多和多与一相互关系的存在,才能有在差异前提下形成统的必然性和现实性。有了这样的必然性和现实性,一与多和多与一的存在关系,就是不同事物内部不同构成因素,以及不同事物之间及与其环境之间构成不同形式和性质统一体即系统的现实根据。     

一种基于SNMP的空地对抗仿真系统的性能管理方法

为解决大规模仿真系统对性能监测和资源管理能力不高的问题,提出了一种SNMP和HLA技术相结合的仿真系统监管方法。首先论证了HLA仿真框架与SNMP技术相结合的可行性,并提出了基于SNMP的仿真系统结构及其系统设计途径。最后,在空地对抗仿真系统环境下,实现了对集群总体及各机器的负载及仿真运行情况的监测、系统资源和联邦成员间的管理,证明了此改进系统具有良好的管理能力。     

多元变频空调系统物理模型研究

以系统论和相似理论为基础，分析了多元变制冷流量空调系统（MVRV）与单元变制冷剂流量空调系统（SVRV）空调系统在结构、物理模型、运行调节特性等方面的相似性，提出SVRV是MVRV的抽象与简化，MVRV是SVRV的扩展与延伸的理念，二者通过气液两相流体网络有机地统一，消除人们对MVRV系统开发的盲目性，为MVRV系统的优化设计、匹配选型和性能标定等指明方向。     

制造系统的建模方法

本文阐述了基于ＣＩＭ－ＯＳＡ框架的集成化制造系统模。它的建模框架基于一个集成模型的四个建模视图：功能视图、信息视图、资源视图和组织视图。功能视图是以围绕中心的四个基本结构的建模方法来建立制造系统的功能与行为模型，四个基本结构分别是：事件、过程、作业和操作；信息视图是基于结构化的面向对象的模型以信息元素、对象视图和企业对象的形式表述事务数据与信息；资源视图描述制造系统的被动的和主动的资源；组织视图定义模型不同部分的责任和权力，以及以组织单元、组织细胞表示的结构。     

基于Petri网的工作流模式--工作流模式分析研究

随着企业建模、工作流概念的出现以及相关技术的发展,Petri网因其既有严格的形式定义,又有直观的图形表示,既有丰富的系统描述手段和系统行为分析技术,又为计算机科学提供坚实的概念基础等诸多优点也被应用于这一新兴领域,对工作流理论基础进行研究.本文将利用Petri网来描述和分析工作流的各种模式,比较模式之间的异同,并对模式进行合并和重划分.     

现实复杂情形下的SIRS型传染病模型及其控制策略

研究现实复杂情形下(包含非线性传染率、有隔离措施、群外个体迁入、生育与死亡以及疾病可水平和垂直传播等)的SIRS型传染病模型。首先证明该传染病模型的无病平衡点与地方病平衡点的唯一存在性及渐近稳定性;然后从基本再生数以及折衷考虑人道主义、救治代价与疾病控制效果的原则,针对流行于人类的传染病,提出优先隔离染病个体、提高疾病治愈率以及控制传染病垂直传播的传染病综合控制策略;最后,数值仿真验证了模型的稳态特性以及综合控制策略的有效性。