Monte Carlo方法在计算机辅助布防中的应用

借助于统计推断的有关原理,提出了一种评估多个火力单元射击一批目标教果的方法。该方法可以为防空批导武器系统的合理布置提供参考,也可以用于评估一个已布置的防空反导系统的有效防卫能力,为最大限度地利用防空反导兵器提供依据。     

minimax问题的广义共轭向量法

本文按照共轭向量法的理论,针对非奇异对称矩阵提出了广义共轭向量的概念,并论述了它的三个重要性质(线性独立性、可寻驻点和可扩展性)。在此基础上,构造了极小极大(minimax)问题的广义共轭向量法。理论分析表明,该算法具有二次终止性质,且在每一维搜索时具有确定的寻优特征(求极小或求极大)。该算法为用拉格朗日乘子法求解数学规划提供了一个可能的途径。计算实例表明该算法是有效的。     

模糊数学与计算机应用

论述模糊数学与计算机发展之关系,设想利用模糊数学方法解决计算机进行模糊模式识别的过程,给出了几个具体例子。     

脉冲刷镀层与直流刷镀层的对比分析

应用MSD—3O—S逆变电源及普通刷镀电源,研究了脉冲刷镀层的沉积速度、硬度、耐磨性、结合强度等方面的性能,并与直流刷镀层进行了比较,结果表明脉冲刷镀层性能优于直流刷镀层。     

凹槽构型对平板气层减阻影响试验分析

通过平板凹槽喷气减阻模型试验,研究了航速和气流量等因素对平板气层减阻规律的影响,并利用水下摄像系统对不同凹槽构型内的气层形态进行了观测。试验结果表明:不喷气时凹槽的存在会使平板的阻力增加;喷气可以有效减小平板阻力,存在饱和气流量;饱和气流量随着槽深的增加而减小,饱和气流量下平板的绝对减阻率随航速的增加而降低;设置凹槽构型是保持平板下表面气层稳定性的有效措施,合适的凹槽构型可以明显改善平板底部喷气流场,提高平板喷气减阻效果;在Fr为0.119时,饱和气流量下平板的绝对减阻率可以达到40%以上。     

基于反步法的无人翼伞航迹跟踪控制

为实现无人翼伞飞行器的直线航迹跟踪控制,提出了一种基于模拟对象的可变增益反步跟踪控制方法。基于模拟对象方法得到翼伞飞行器的航迹跟踪误差模型,并针对该模型设计了可变增益反步跟踪控制律,在保证稳定性的同时提高了系统的跟踪精度。将控制器应用于无人翼伞飞行器平面航迹跟踪控制中,仿真实验表明,所设计的控制器可以实现航迹的精确跟踪,且具有很好的鲁棒性。     

基于GEO SAR辐射的星机协同融合探测系统

为提高机载平台对隐身目标的探测能力,提出一种基于地球同步轨道合成孔径雷达(GEO SAR)辐射、多个机载平台接收的多基雷达协同探测系统,该系统具有覆盖范围广、机载射频隐身、生存能力强等优势.分析了星机协同的作战优势,可获取目标RCS空间闪烁增益、双基RCS增益以及融合增益.分析了星机双基协同探测威力与多基融合探测威力,可提高隐身目标探测距离.通过仿真实验验证了分析的有效性.     

Maneuvering target tracking of UAV based on MN-DDPG and transfer learning

Tracking maneuvering target in real time autonomously and accurately in an uncertain environment is one of the challenging missions for unmanned aerial vehicles(UAVs).In this paper,aiming to address the control problem of maneuvering target tracking and obstacle avoidance,an online path planning approach for UAV is developed based on deep reinforcement learning.Through end-to-end learning powered by neural networks,the proposed approach can achieve the perception of the environment and continuous motion output control.This proposed approach includes:(1)A deep deterministic policy gradient(DDPG)-based control framework to provide learning and autonomous decision-making capa-bility for UAVs;(2)An improved method named MN-DDPG for introducing a type of mixed noises to assist UAV with exploring stochastic strategies for online optimal planning;and(3)An algorithm of task-decomposition and pre-training for efficient transfer learning to improve the generalization capability of UAV's control model built based on MN-DDPG.The experimental simulation results have verified that the proposed approach can achieve good self-adaptive adjustment of UAV's flight attitude in the tasks of maneuvering target tracking with a significant improvement in generalization capability and training efficiency of UAV tracking controller in uncertain environments.     

Survivability assessment of spacecraft impacted by orbit debris

To help optimize the spacecraft design and reduce the risk of spacecraft mission failure, a new approach to assess the survivability of spacecraft in orbit is presented here, including the following three steps:1) Sensitivity Analysis of spacecraft. A new sensitivity analysis method, a ray method based on virtual outer wall, is presented here. Using rays to simulate the debris cloud can effectively address the component shadowing issues. 2) Component Vulnerability analysis of spacecraft. A function"Component functional reduction degree — Component physical damage degree"is provided here to clearly describe the component functional reduction. 3) System-level Survivability Assessment of spacecraft. A new method based on expert knowledge reasoning, instead of traditional artificial failure tree method, is presented here to greatly improve the efficiency and accuracy of calculation.     

多模板指纹的特征拼接

许多自动指纹识别系统在注册阶段对于每个用户存储同一手指的多个模板指纹,在认证阶段将输入的指纹和存储在模板库中的相应手指的多个模板指纹进行比对。提出了将多个模板指纹的特征进行拼接的方法,将多个模板指纹拼接成一个模板指纹。这样,在认证阶段可以减少和输入指纹进行比对的模板个数,加快了比对速度。同时,拼接而成的模板指纹比单个模板指纹的特征丰富,有利于提高识别的正确率。实验测试表明,方法能够提高系统的识别性能。