网络雷阵及其被动定位原理

对网络水雷阵的概念进行了讨论 ,明确了几项系统关键技术 .提出了一种网络传感器纯方位目标定位算法 .该算法构思巧妙 ,用途广泛 .     

基于网络的指挥控制协同性能评估模型

网络中心作战是通过部队网络化而实现的军事行动,网络化作战行动的评估需要新的模型和测量方法,以便获取基于信息优势对改进后的指挥和控制的效果.在借鉴美军经验的基础上,从信息的角度区分了网络中心作战信息栅格运作的方式,运用图论、复杂性理论和性能评估理论等方法,建立了作为信息处理系统的指挥控制网络的结构、预期延迟时间、协同影响、复杂性和有效期望等待时间模型,以及作为指挥控制系统的指挥控制网络的节点决策和网络决策效能模型,是对网络中心作战方法的探索.     

基于BP神经网络的C4ISR系统人机交互性能评估

针对C4ISR系统中人机交互子系统的特点,运用神经网络方法探索其性能评估问题.建立了C4ISR系统人机交互性能评估的指标体系,阐述了BP神经网络的相关原理及算法,构建了基于此网络的性能评估模型.并利用MATLAB软件进行了仿真分析,证明了理论的正确.采用神经网络理论进行性能评估,可弥补专家的经验和知识,降低评价过程中的人为因素影响,保证其客观性.模型能够比较准确地对C4ISR系统人机交互性能进行评估,为研究指挥自动化系统提供了一种新的思路.     

自适应网格交互多模型算法

研究和设计了一种模型集合自适应方法——自适应网格方法。并将其与交互多模型算法相结合,提出了自适应网格交互多模型(AGIMM)算法,它是一种变结构多模型算法。仿真显示它能有效地提高IMM估计器的费效比。     

短波通信组网研究

对于短波信道,目前基本上是用于点对点的通信媒介。采用组网通信方式可以在网内选择最佳链路,克服信道不稳定、干扰大、可靠性差等不足。首先介绍了网络的拓扑结构,然后针对短波通信的特点研究了短波星形组网、树形组网和网形组网的军事应用及拓扑设计,并给出了具体的构造方法。可为短波军事通信网络系统的规划与建设提高参考。     

BP人工神经网络的应用及其实现技术

简述了BP人工神经网络的算法原理 ,利用Batchnet程序对一个三层BP人工神经网络进行了设计 ,应用Matlab中人工神经网络工具箱设计了一个用于函数逼近的BP人工神经网络 ,最后 ,运用Matlab中可视化工具Simulink对一个BP人工神经网络例子进行了仿真 ,通过例子 ,探讨了BP人工神经网络的应用并介绍目前几种实用的BP人工神经网络实现技术 .     

导弹故障智能诊断的一种实现方法

研究了基于神经网络的故障诊断专家系统的理论和方法及具体实现过程。将此方法应用于导弹武器系统故障智能诊断之中 ,结果表明该方法是一种行之有效的故障智能诊断方法。     

Military Expenditure as a Proxy for State Power. The Case of France

This paper attempts to build a simple indicator of state power. Military expenditure is the paper’s point of departure, with the definitions given by NATO, SIPRI and others. This definition is discussed and a power version is build, using French budgetary data. Then a defence of the result against traditional or non-traditional critics is presented under an imperative of action. Finally, this concept is enlarged and a new concept of power expenditures is given, one more time using French budgetary data. The conclusion is that this large expenditure concept is an unbiased but imperfect indicator of the will to act, and has to be completed by GDP to indicate the capability to act in the long-run.     

Optimizing natural gas pipeline transmission with nonuniform elevation: A new initialization approach

In this paper, we develop an iterative piecewise linear approximation approach with a novel initialization method to solve natural gas pipeline transmission problems with the nonuniform network elevation. Previous approaches, such as energy minimization methods, cannot be applied to solve problems with the nonuniform network elevation because they exclude pressure range constraints, and thus provide solutions far from optimum. We propose a new initialization model that considers pressure range constraints and improves the optimality of the solutions and the computational efficiency. Furthermore, we extend the energy minimization methods and provide the necessary conditions under which the extended methods operate in networks with the nonuniform elevation. We test the performances of the methods with previously reported pipeline networks from the literature, with the open data set GasLib, and with our industrial collaborator. The initialization approach is shown to be more efficient than the method with fixed initial breakpoints. The newly proposed initialization approach generates solutions with a higher accuracy than the extended energy minimization methods, especially in large‐size networks. The proposed method has been applied to natural gas transmission planning by the China National Petroleum Corporation and has brought a direct profit increase of 330 million U.S. dollars in 2015‐2017.     

三架固定翼无人机协同编队飞行避障策略

针对无人机编队执行空战任务过程中存在无人机之间以及无人机与障碍物发生碰撞的问题,提出单向网络连接结构的多无人机避障算法和基于人工势场的控制方法,同时应用于无人机编队避障控制。以三架无人机构成的正三角形编队作为控制体,同时以长机的运动轨迹作为期望路径,长机提供僚机飞行信息,僚机接受信息保持编队飞行。多无人机编队发现障碍物到避障完成的过程包括编队集结、松散队形、最终恢复集结正三角形编队。仿真实验结果表明,所提避障控制策略能够确保编队收敛于期望的队形和稳定飞行状态。