单组点堆中子动力学方程的解析解

针对有外加中子源单组点堆中子动力学方程组的快速求解问题,提出了常数变易法和同伦分析方法,通过理论推导获得了单组点堆中子动力学方程组解析解,然后对3种不同刚性情况下的阶跃反应性引入的例子进行了求解和数值分析,验证了所得解析解的正确性。     

隧道出入口照明智能控制研究

针对隧道出入口段照明能耗大、行车舒适性差的缺点,依据隧道外亮度传感器采集的数据,通过单片机分组控制出入口段照明灯具,满足车辆出入隧道时驾驶员的明适应和暗适应需要。该法不但提高了驾驶舒适性,而且减少了能耗,降低了运营费用。     

机载光电传感器视轴指向的智能辅助决策方法

机载光电传感器视轴应尽可能接近目标线,以缩小指向偏差而不使目标偏离传感器瞬时视场,飞行员在复杂的战场态势下进行视轴操控具有一定困难。针对该问题,提出了一种机载光电传感器视轴指向的智能辅助决策方法,该方法以传感器视轴指向的数学模型为基础,通过专家知识建立引导规则,完成目标与各传感器的配对;计算配对后的各传感器视轴指向偏差和偏差变化率,采用模糊控制算法得出视轴偏移率,引导各传感器视轴指向与之配对的目标。仿真结果表明了该方法能够合理引导各传感器视轴指向目标,并能将视轴指向偏差缩小在很小的范围。     

含有多普勒频率的毫米波/红外融合滤波算法

由于毫米波雷达(MMV)和红外(IR)两种传感器在跟踪目标方面具有各自的优势,故使用两种传感器进行数据融合可以得到较单一传感器更高精度的目标数据,从而提高滤波精度。针对上述两种传感器的特点,对采样数据进行时空对准,结合UT变换思想,并在此基础上提出一种含有多普勒频率的无迹卡尔曼滤波(UKF)算法。新算法较单一MMV或者IR传感器滤波算法精度有了明显提高,并且较MMV/IR融合的传统扩展卡尔曼滤波(EKF)算法的精度也有提高。仿真结果证明了新算法的有效性和合理性。     

多UCAV任务分配有限阶段MDP方法和算法

多UCAV(Unmanned Combat Air Vehicle)任务分配是无人机作战决策的重要内容,是一类求解困难的组合优化问题,目前尚无成熟高效的解决方案.通过马尔可夫决策过程(MDP)将任务分配问题化解为分阶段序列决策过程,并对当前阶段决策状态采用单一整数编码,提出了基于有限阶段MDP的求解算法.通过仿真实验表明:该算法可以快速精确地解决多UCAV任务分配的问题.     

A facility reliability problem: Formulation,properties, and algorithm

Having a robustly designed supply chain network is one of the most effective ways to hedge against network disruptions because contingency plans in the event of a disruption are often significantly limited. In this article, we study the facility reliability problem: how to design a reliable supply chain network in the presence of random facility disruptions with the option of hardening selected facilities. We consider a facility location problem incorporating two types of facilities, one that is unreliable and another that is reliable (which is not subject to disruption, but is more expensive). We formulate this as a mixed integer programming model and develop a Lagrangian Relaxation‐based solution algorithm. We derive structural properties of the problem and show that for some values of the disruption probability, the problem reduces to the classical uncapacitated fixed charge location problem. In addition, we show that the proposed solution algorithm is not only capable of solving large‐scale problems, but is also computationally effective. © 2009 Wiley Periodicals, Inc. Naval Research Logistics, 2010     

作战需求分析方法研究

作战需求分析方法研究是指总结现有作战需求分析方法,研究适应现代战争要求的新的作战需求分析方法.通过分析国内外作战需求分析的理论和方法,并针对作战需求分析的各问题域展开研究,提出了"面向威胁、基于能力"的作战需求分析方法,并对其研究思路、基本方法和研究内容进行了探讨.该方法按照"目的-任务-构想-能力"的顺序进行分析,用"价值中心法"分析目标、任务与能力之间的映射关系,用探索性仿真方法分析不同构想情况下的能力需求,可以为战略规划、作战运筹、武器装备发展等提供方法和决策支持.     

加强军事战略运筹分析方法研究

针对军事战略问题研究，论述了以科学量化为基础，定性与定量相结合进行研究的科学化方法——战略运筹分析方法。讨论了战略运筹分析的基本内涵，分析了其研究应用概况和所面临的挑战，研究了战略运筹分析方法的本质要求和方法论特点。     

Coercive diplomacy and the Donbas: Explaining Russian strategy in Eastern Ukraine

What were Russia’s objectives in Eastern Ukraine, and why was it seemingly unable to achieve a successful or decisive outcome? In contrast to Russia’s seizure of Crimea, the uprising in Eastern Ukraine was marked by disorganization and chaos. Using proxy and surrogate actors, along with military exercises and the injection of Russian troops, Russia sought to institutionalize a political entity inside Ukraine to influence its domestic politics. In this article, I analyze the mechanisms by which Russia attempted to implement, and later salvage, its strategy. The article contributes to clearer theoretical and practical understanding of limited force in coercive diplomacy, signaling, and a more rigorous treatment of the role and uses of proxy actors.