加强和改进国防动员潜力统计调查工作的思考

文章从对陆军作战行动特点分析入手,以跨越系列演习为参照,着力研究破解制约提高战时陆军部队作战行动管控的瓶颈,为切实抓好陆军部队作战行动管控提供参考。研究出陆军结构调整后,宜采用整体联动管控、一体联合管控、法制化管控,以提升力量体系管控成效。     

军事院校推动国家安全教育研究

提出互联网+时代军队院校面临与军队新型作战能力培养有关的国家安全时代课题,从整合新媒体网络资源、依托校园文化平台、构建国家安全教育体系三方面进行了对策分析,重点探索与新军事变革密切相关的"文化安全、军事话语传播、地缘政治"等议题,以学术活动的顶层设计将国家安全教育融入军事院校学员具有中国特色的军事理论创新。     

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。     

评估飞控系统的风洞虚拟飞行试验系统与关键技术

为向开展具体的风洞虚拟飞行试验技术提供引导,针对应用于飞控系统评估的风洞虚拟飞行试验系统及关键技术进行了分析。基于传统意义上的飞控系统评估方法的不足,分析风洞虚拟飞行试验应用于飞控系统评估的优势;按飞控系统常用的姿态控制回路及制导控制回路的组成形式,介绍风洞虚拟飞行试验系统方案与工作原理,详细分析它与半实物仿真系统的差异;分析风洞虚拟飞行试验应用于飞控系统评估需解决的关键技术问题,包括风洞虚拟飞行试验评估方法、飞行器模型设计技术、飞控系统改进技术及模型支撑技术。     

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。     

凹障碍超宽带SAR图像特征分析

野外环境下的凹障碍感知一直是地面无人作战平台环境感知面临的难题,长期以来常规传感器,例如立体视觉、红外相机和激光雷达,都没有取得好的效果。超宽带合成孔径雷达作为一种全天时、全天候的高分辨率雷达,在目标感知方面得到了广泛的运用。基于超宽带合成孔径雷达感知凹障碍是一种有效的感知手段,阐述了凹障碍的雷达成像几何,利用MATLAB模拟仿真合成孔径雷达数据获得了凹障碍图像,分析得出了凹障碍在雷达图像表现出由阴影区和光亮区紧密相连的特征,并通过实测数据成像获得的凹障碍图像结果,对凹障碍雷达图像特征进行了进一步的验证。