电子对抗电磁环境的矩阵对策评估方法

为提高复杂电磁环境下的作战能力,对其进行复杂度评估是必须首要解决的课题。在分析战场复杂电磁环境评估基本方法的基础上,提出了一种基于矩阵对策的战场复杂电磁环境评估方法,建立了评估的模型,并通过一个电子对抗训练的场景,合理构建了支付矩阵,验证了评估方法的有效性。该方法可以反映作战过程的动态变化,同时为作战决策提供依据,可以有效提高战场决策水平和作战训练水平。     

弹载北斗抗干扰天线系统分析与设计

首先分析了弹载北斗导航系统接收机抗干扰天线系统的军事需求,确立了总体设计方案,然后详细分析了硬件平台方案选择和软件算法技术实现方案,并进行了相关的比较和仿真,得出了一些有益的结论。该结论可为研究和设计基于北斗导航的抗干扰天线系统提供有益的参考。     

Annealing adaptive search,cross‐entropy,and stochastic approximation in global optimization

The Annealing Adaptive Search (AAS) algorithm for global optimization searches the solution space by sampling from a sequence of Boltzmann distributions. For a class of optimization problems, it has been shown that the complexity of AAS increases at most linearly in the problem dimension. However, despite its desirable property, sampling from a Boltzmann distribution at each iteration of the algorithm remains a practical challenge. Prior work to address this issue has focused on embedding Markov chain‐based sampling techniques within the AAS framework. In this article, based on ideas from the recent Cross‐Entropy method and Model Reference Adaptive Search, we propose an algorithm, called Model‐based Annealing Random Search (MARS), that complements prior work by sampling solutions from a sequence of surrogate distributions that iteratively approximate the target Boltzmann distributions. We establish a novel connection between MARS and the well‐known Stochastic Approximation method. By exploiting this connection, we prove the global convergence of MARS and characterize its asymptotic convergence rate behavior. Our empirical results indicate promising performance of the algorithm in comparison with some of the existing methods. © 2011 Wiley Periodicals, Inc. Naval Research Logistics, 2011     

l阶链式积分器型多智能体实现平均一致的时延相关LMI判据

针对l阶链式积分器型多智能体平均一致性问题,给出联合连通拓扑条件下LMI表示的时延相关稳定判据.利用状态分解思想,将收敛条件转化为判断不一致系统零平衡点的稳定性;考虑存在多个时变通信时延的情况,采用构造公共的Lyapunov-Krasovskii泛函的方式来分析系统稳定性,为获得较低保守性判据,在主要结论中引入了自由权...     

一种基于相位校正的InISAR图像配准新方法

针对InlSAR三维成像中的图像配准问题进行研究,从理论上推导了同一基线上两干涉天线之间图像失配准的原因,并定量分析了图像失配准量对后续干涉处理的影响.研究表明,初始时刻同一基线上两干涉天线间的波程差引起两幅ISAR图像距离方向的亚像素级失配,而成像积累时间内两干涉天线波程差的变化量则引起两幅ISAR图像多普勒方向的像...     

邻域加强的并行子空间优化过程

针对基于响应面的并行子空间优化(CSSo-RS)过程的不足,提出了基于邻域加强的改进CSSO-RS优化过程.其主要思路是在子空间优化后,在得到的最优解附近进行全部变量的优化,以更好地协调系统级优化与子空间优化.用经典测试函数及通用航空飞机参数优化问题对该算法进行测试,测试结果表明该算法使CSSO-RS优化效率得到较大的...     

飞行器多学科设计优化理论的工程应用

目前,飞行器的多学科设计优化(MDO)方法研究已经成为国际上航天领域的一个研究热点,但在我国,与MDO基础理论研究的迅速发展相比,MDO的工程应用研究相对滞后,甚至导致部分飞行器设计人员对于MDO理论的实用性产生质疑.本文结合我们近十多年来的研究工作,在分析MDO工程应用所面临困难的基础上,总结了MDO工程应用研究的关...     

基于作战能力图的兵力部署评估仿真

运用电子地图的发展成果和技术,通过将联合作战兵力转化为具有一定属性值的作战能力像素点,以点阵图形式来显示和研究兵力部署,实现对联合作战兵力部署的评估,为定量化研究联合作战兵力运用提供一种辅助决策的新方法.     

基于LS-SVM的飞机保障性预测评估建模

针对飞机保障性预测评估建模难的问题,基于统计学习理论,采用LS-SVM方法,建立了飞机保障性的预测模型。仿真试验结果表明,LS-SVM具有很高的建模精度和较强的泛化能力,从而验证了该方法的有效性和先进性。     

China's Global Equity Oil Investments: Economic and Geopolitical Influences

In this article, we construct and analyze an original database of overseas Chinese equity oil investments (EOI) in order to assess the relative importance of economic and geopolitical factors in determining the type of countries that are most likely to receive those investments. We find that China's national oil companies (NOCs) choose to make considerable investments in certain oil rich countries while ignoring others. We develop and examine ‘economic opportunity’ and ‘geopolitical relevance’ explanations of Chinese EOI. The economic explanation assumes that Chinese oil companies operate autonomously despite the fact that they are state owned, and that they seek international experience in countries offering less competition but more risk. The geopolitical explanation suggests that Chinese equity oil investments are developed and coordinated by the central government as part of a geopolitical strategy that is designed to bypass the so-called ‘Malacca Dilemma’ and deepen security ties with oil-rich states through the conduct of oil diplomacy. We argue that Chinese EOI tends to reflect both corporate interests and government priorities, and that it generates more liabilities rather than benefits for China.