基于战例数据的制胜要素选择方法

针对战争制胜机理定量研究需求,提出了一种基于混合评估的制胜要素选择算法。针对战例数据特点,该算法选择两种过滤方法分别从不同方面对要素全集进行评估排序而后加权得到综合排序结果;将结果作为遗传算法的初始种群,而后以分类精度作为个体适应度函数。选择几种典型的分类器综合比较,筛选出规模较小、性能较好的要素子集。测试结果表明,该算法不仅能有效地减少要素子集规模,还可以进一步提高制胜机理分析模型的准确率和效率。     

基于滑模控制的某型起落架落震联合仿真

飞机起落架是飞机起落的安全保证。给出了在ADAMS/Aircraft中建立某型飞机起落架的虚拟样机模型,设计并实现基于磁流变液的飞机起落架滑模缓冲控制算法,通过MATLAB/Simulink和ADAMS完成了该型飞机起落架着陆缓冲联合仿真分析。经过联合仿真得到缓冲器的位移-时间曲线,速度-时间曲线,阻尼力-时间曲线等特性数据,通过与被动式起落架的缓冲性能进行比较,验证了设计的滑模控制算法能够有效提高飞机起落架着陆缓冲性能。     

防空导弹指挥控制系统火力单元动态调整方法

多火力单元责任扇区的动态调整是防空导弹指挥控制系统的核心功能之一,通过引入可打击目标数和覆盖目标数的概念及计算方法,提出了一种新的多火力单元责任扇区调整方法。该方法能快速有效地确定多火力单元责任扇区调整方案。     

Responsibility in Complex Conflicts: An Afghan Case

This paper discusses soldiers’ moral responsibility in today’s complex conflicts. The point of departure is the increased focus on soldiers as moral decision-makers in war, illustrated by the introduction of core values in the Norwegian Armed Forces. Responsibility is one of these core values, but it is not clear exactly how we should understand responsibility. I use a case where a group of Norwegian soldiers in the International Security Assistance Force (ISAF) sought the cooperation of a group of mujahedeen to solve the military mission of establishing security. As confidence between the parties grew, the soldiers became horrified witnesses to a practice of bacha bazi, where a young boy is dressed up for entertainment and sexual abuse. This situation gives reason to question the limits of role responsibility, the status of soldiers’ legitimacy, and the challenges of making morally sound judgments in a multicultural context. The discussion demonstrates that, even if there are restrictions on the soldiers’ freedom to act, a responsibility reaching beyond or extending their role should be recognized as part of the moral reality of modern soldiers.     

Single‐commodity stochastic network design under demand and topological uncertainties with insufficient data

Stochastic network design is fundamental to transportation and logistic problems in practice, yet faces new modeling and computational challenges resulted from heterogeneous sources of uncertainties and their unknown distributions given limited data. In this article, we design arcs in a network to optimize the cost of single‐commodity flows under random demand and arc disruptions. We minimize the network design cost plus cost associated with network performance under uncertainty evaluated by two schemes. The first scheme restricts demand and arc capacities in budgeted uncertainty sets and minimizes the worst‐case cost of supply generation and network flows for any possible realizations. The second scheme generates a finite set of samples from statistical information (e.g., moments) of data and minimizes the expected cost of supplies and flows, for which we bound the worst‐case cost using budgeted uncertainty sets. We develop cutting‐plane algorithms for solving the mixed‐integer nonlinear programming reformulations of the problem under the two schemes. We compare the computational efficacy of different approaches and analyze the results by testing diverse instances of random and real‐world networks. © 2017 Wiley Periodicals, Inc. Naval Research Logistics 64: 154–173, 2017     

改进IAHP-CIM模型的雷达组网探测能力评估方法

针对雷达组网探测能力的评估问题,采用鱼骨图法对影响雷达组网探测能力的多种因素进行梳理,得到结构层次清晰的指标评价体系。采用改进的区间层次分析—控制区间和记忆模型对该指标体系进行评估,具体方法是:运用区间层次分析法构造区间判断矩阵;利用蛙跳算法求解区间判断矩阵中满足最小一致性的确定性矩阵;利用控制区间和记忆模型来确定各指标的风险概率,实现指标体系的评估。以具体的案例为对象进行仿真实验,结果表明,所提评估方法有效,评估结论相对客观、可信,对雷达组网探测能力评估具有一定参考价值,从而为雷达组网的优化部署奠定良好基础。     

方差全局灵敏度求解的空间分割结合无迹变换方法

为有效计算基于方差的全局灵敏度指标尤其是非线性程度较高的响应函数的,将积分空间的可加性以及无迹变换结合起来,利用函数在子空间内非线性程度会降低以及无迹变换方法在概率空间内对低非线性函数性质具有强捕捉能力的特点,提出计算基于方差的全局灵敏度指标的高效方法。该方法只需产生一组无迹变换样本就可以近似求得各阶灵敏度指标,并且该近似解随空间分割个数的增加而收敛于真值。通过非线性程度较高的验证算例及工程算例验证了所提方法在处理非线性功能函数上的高效性和准确性。     

Counter-Insurgency in Pakistan: The Role of Legitimacy

The Pakistani security forces have won their fight against the insurgency of the Pakistani Taliban, though terrorism will remain a serious problem for the foreseeable future. Victory was won not chiefly on the basis of new tactics, but of the recovery of legitimacy for the campaign among the population and the armed forces. This occurred when the war came to be seen as one waged not in the interests of the USA, but for the defence of Pakistan. In Balochistan, the nationalist insurgency has been different from and weaker than that of the Taliban—but may prove longer lasting. Military tactics in Balochistan have closely resembled those of the British Raj, and have been based with some success on fomenting tribal divisions and co-opting tribal elites.     

Insurgency and Violent Extremism in Pakistan

Pakistan has an uneven history of dealing with insurgencies and extremism. This article identifies the various campaigns and policies employed to defeat militants and deal with violent extremism. It describes the major anti-state groups and how Pakistan’s military and civilian leaders, relying on the related strategies of selectivity, gradualism and containment, have allowed militancy and terrorism to thrive. This article finds that while the elites and the public may have belatedly come to appreciate the existential internal threats these groups pose to the country, there are strong reasons to doubt the state’s full commitment to its promises to take meaningful action.     

无人机规避或跟踪空中目标的自适应运动导引方法

无人机规避或跟踪空中目标可以看作是一个非线性运动导引控制问题。针对这类任务中无人机和目标存在高机动性、高时敏性等特点,提出了一种基于Lyapunov稳定性理论的无人机规避或跟踪目标运动导引方法。构建了基于精细时间运动导引方法的无人机规避或跟踪空中目标问题求解框架,并将无人机碰撞规避和机动目标跟踪问题分别转化为到达虚拟目标点和与虚拟目标点交会的问题。针对碰撞规避问题,将其转化为实现平行导引的控制问题,基于Lyapunov稳定性理论设计了无人机碰撞规避导引律。针对机动目标跟踪问题,在碰撞规避基础上,根据目标点交会的要求设计了相应的目标跟踪导引律。在Gazebo平台上开展了仿真验证实验,实验结果表明:所提方法能够有效避免大过载情况的出现,并具有较强的时变和参数适应性。