含脉冲负载的综合电力系统储能优化配置研究

考虑到舰船环境限制和高能脉冲负载对储能的需求,有必要对储能装置进行合理的选型和优化配置,来提升综合电力系统性能。为此,基于带权极小模理想点法和层次分析法,提出了一种储能装置性能评价函数,并以其为优化目标,进行储能装置优化配置。所提出的评价函数充分考虑系统需求和脉冲负载特性,以储能装置体积、质量和经济性作为评价函数主要组成部分,同时考虑功率、能量、电压、荷电状态等约束,建立优化配置模型,并采用差分进化算法进行求解。以高性能锂电池和超级电容器为例,对所提模型进行求解计算,结果表明在所给权重系数下锂电池性能更优,更适用于综合电力系统,并给出了优化配置后的指导方案。     

Strategy selection: an info-gap methodology

The evaluation and selection of military strategy requires consideration of myriad factors – social, historical, political, geographical and technological – together with vast uncertainties encompassing all these domains. Info-gap decision theory is a conceptual framework that can support these deliberations and that has substantive implications for the formulation, evaluation and selection of strategic goals and of the means to attain them. In particular, while the analyst may desire to reliably achieve the best possible outcome, info-gap theory provides a critique of, and alternative to, the paradigm of optimizing the outcome of a decision. In selecting between strategy alternatives, the analyst must sometimes choose between one alternative that is purportedly better than another, but also more uncertain. Such a choice is a dilemma whose resolution requires the analyst to balance between the different predicted qualities of each alternative and their different vulnerabilities to uncertainty. The dilemma can be managed with the info-gap methodology of robustly satisfying critical requirements.     

全球治理视角下奥巴马政府太空战略解读

作为重要的全球公域范围与全球治理对象之一,太空既面临着日益严峻的资源、环境与安全问题,又不断彰显着其极具地缘政治意义的战略地位,攸关国家利益与安全。自进入太空时代以来,争夺和维持太空领域的领先地位一直是美国不懈追求的目标。美国的经济、军事等国家实力越来越依赖太空,同时其太空资产的脆弱性也愈发凸显。面对新的国际国内形势与外空态势的复合挑战,奥巴马政府适时调整了美国的太空战略。文章以全球公域和全球治理为切入视角,在分析太空领域全球治理现状的基础上,从太空活动行为准则的制定、太空国际合作的深入、太空军备竞赛的规制三个层面解读奥巴马政府的新版太空战略,并探讨其深层次的动因与影响,进而为中国参与太空领域的全球治理提供有益的理论支撑与现实参考。     

弹道导弹被动段最优脉冲变轨方法

弹道导弹大气层外飞行时间长且弹道固定,易被敌方预测和拦截。针对以上问题,本文提出一种最优脉冲式变轨方法,该方法设计的弹道由2条不同的椭圆弧段组成,成功命中目标的同时,增加了敌方的拦截难度。以机动变轨所需能量和变轨后飞行剩余时间的加权最优为性能指标,设计了利用遗传算法在初始弹道上寻求最优变轨点的方法。最后,将遗传算法搜索最优点结果与遍历搜索结果进行对比,其最大误差为 ,从而验证了遗传算法在应用于导弹变轨问题,用以寻求最优变轨点是准确有效的。     

山水自在 筑鉴非凡——重庆商务职业学院新校区规划设计

介绍了重庆商务职业学院新校区的校园规划策略。基于生态保护进行校园规划,通过建筑布局与地形环境的协调共生形成山水校园,结合历史人文营造个性化校园空间。同时,从生态保护、规划分区、建筑布局、景观空间等方面探讨文化内涵与个性校园的规划设计策略,得出自然山水形成了丰富的地域景观,并由此创造出具有个性的地区文化的结论。旨在为山地校园建设起到借鉴作用。     

翼伞精确空投系统归航轨迹规划与控制

翼伞归航轨迹规划与控制问题是翼伞系统在一定初始状态下,利用自身可操作性,完成从初始位置到目标位置的转移问题。针对翼伞空投系统不同归航要求,规划出满足精度要求为圆径概率误差（ CEP ）小于40m的归航轨迹并经过一定量的控制完成翼伞空投系统精确空投任务。首先建立翼伞系统状态空间六自由度模型,并在此基础上提出系统简化稳态模型,通过最优控制方法,规划出满足空投要求的最优归航轨迹后对翼伞进行不断控制直至目标点。最后通过Matlab仿真试验,绘出翼伞系统归航轨迹图与控制变化图。     

改进BAS-TIMS算法在空战机动决策中的应用

针对当前空战机动决策精确度低、实时性差的缺点,对天牛须搜索-战术免疫机动系统(Beetle Antennae Search-Tactical Immune Maneuver System, BAS-TIMS)算法进行改进,并应用于空战机动决策中。增加左爬升、右爬升、左俯冲、右俯冲4种机动,对传统的机动策略库进行扩充,设计了11种基本机动策略并给出了相应的控制方法。基于距离、高度、速度、角度和战机性能优势函数,利用非参量法构造战机机动决策综合优势函数。针对天牛须搜索算法在全局搜索和收敛速度上存在的缺陷,引入蒙特卡洛概率迭代的方法对算法进行改进,并和战术免疫机动系统进行融合,将改进的BAS-TIMS算法用于空战机动决策。设计算例进行仿真分析,并将结果和博弈论法、改进共生生物免疫进化算法、传统BAS算法和传统TIMS模型的计算结果进行对比,验证所提算法的有效性。仿真结果表明:改进BAS-TIMS算法在空战机动决策的收敛精度、收敛速度和全局搜索能力上更加具有优势。     

【邀请论文】军队审计应用区块链技术面临的机遇、挑战及推进策略

区块链技术是一种融数据库技术、计算机科学、网络技术、数学及密码学等为一体的现代信息技术,是未来信息化发展的核心技术之一,具有去中心化、公开透明、不易篡改及开源共治等特点。军队审计要坚定不移地贯彻科技强审战略,加强审计信息化建设,将大数据、区块链等现代信息技术与审计业务深度融合,大力推行在线审计、联网审计,促进审计力向保障力和战斗力聚焦。本文在系统阐述区块链技术给军队审计在控制审计风险、提高工作效率、实现审计全覆盖等方面带来机遇的同时,分析了可能面临的应用意识不足、应用经验不足、应用安全存在隐患、应用法规缺乏等挑战,在此基础上提出了区块链技术应用的推进策略,以期更好地推动军队审计信息化的进程。     

Military Off the Shelf Procurements: A Norwegian Case Study

Buying off the shelf procurements (OTS) has become an important part of the national acquisition strategy in several countries, and this paper seeks to bring empirical evidence on OTS as the preferred acquisition strategy by use of data from 2015 to 2022 investment portfolio of the Norwegian Armed Forces. We develop definitions for three categories of procurement – OTS, modified OTS and development projects – as well as a method to classify projects into these categories. Our first finding is that the characteristics of OTS projects correspond to modified OTS and development projects. Our second finding indicates that OTS projects perform better when it comes to the completion of projects according to the initial schedule, compared to development projects.     

Optimal control policies for an inventory system with commitment lead time

We consider a firm which faces a Poisson customer demand and uses a base‐stock policy to replenish its inventories from an outside supplier with a fixed lead time. The firm can use a preorder strategy which allows the customers to place their orders before their actual need. The time from a customer's order until the date a product is actually needed is called commitment lead time. The firm pays a commitment cost which is strictly increasing and convex in the length of the commitment lead time. For such a system, we prove the optimality of bang‐bang and all‐or‐nothing policies for the commitment lead time and the base‐stock policy, respectively. We study the case where the commitment cost is linear in the length of the commitment lead time in detail. We show that there exists a unit commitment cost threshold which dictates the optimality of either a buy‐to‐order (BTO) or a buy‐to‐stock strategy. The unit commitment cost threshold is increasing in the unit holding and backordering costs and decreasing in the mean lead time demand. We determine the conditions on the unit commitment cost for profitability of the BTO strategy and study the case with a compound Poisson customer demand.