车载InSAR前视三维成像技术

野外和非结构化环境下的障碍探测是无人驾驶车(UGV)环境感知的难题之一。基于高度识别障碍是一种有效的解决途径,提出了干涉合成孔径雷达(In SAR)的三维障碍物成像策略,研究了In SAR信息处理流程,分析了干涉基线和运动误差对车载In SAR高程测量精度的影响,仿真了无人车前场景存在遮挡时的In SAR高程测量,证明了In SAR用于UGV前方环境感知的可行性。     

Stochastic scheduling subject to machine breakdowns: The preemptive‐repeat model with discounted reward and other criteria

We consider the problem of scheduling a set of jobs on a single machine subject to random breakdowns. We focus on the preemptive‐repeat model, which addresses the situation where, if a machine breaks down during the processing of a job, the work done on the job prior to the breakdown is lost and the job will have to be started from the beginning again when the machine resumes its work. We allow that (i) the uptimes and downtimes of the machine follow general probability distributions, (ii) the breakdown process of the machine depends upon the job being processed, (iii) the processing times of the jobs are random variables following arbitrary distributions, and (iv) after a breakdown, the processing time of a job may either remain a same but unknown amount, or be resampled according to its probability distribution. We first derive the optimal policy for a class of problems under the criterion to maximize the expected discounted reward earned from completing all jobs. The result is then applied to further obtain the optimal policies for other due date‐related criteria. We also discuss a method to compute the moments and probability distributions of job completion times by using their Laplace transforms, which can convert a general stochastic scheduling problem to its deterministic equivalent. The weighted squared flowtime problem and the maintenance checkup and repair problem are analyzed as applications. © 2004 Wiley Periodicals, Inc. Naval Research Logistics, 2004     

车辆馈能悬挂技术综述

被动悬挂的系统参数不能随路面状况变化而改变,故减振性能有限,且振动能量被减振器以热量的形式耗散,造成了能量的浪费。馈能悬挂能够提高悬挂性能并降低能耗,正受到广泛关注。对车辆悬挂的能量耗散和馈能潜力进行了探讨,回顾了馈能悬挂的研究和发展状况,总结了馈能悬挂的结构方案和优缺点。最后,分析了已有馈能悬挂存在的问题和应用受限的根本原因,并指出能够兼顾振动控制效果与能量回收效率的馈能悬挂将会有良好的发展前景。     

基于变异离散粒子群的协同空战攻击决策算法

为了提高智能协同空战攻击决策算法性能,将变异策略引入到DPSO(Discrete Particle Swarm Optimization)协同空战攻击决策算法中,提出了一种新的基于变异离散粒子群(Mutation Discrete Particle Swarm Optimization,MDPSO)的协同空战攻击决策算法。基于典型空战想定背景,仿真验证了算法的有效性。采用对比实验方法,基于准确性、可靠性和快速性等关键性能指标,分析比较了基于MDPSO协同空战攻击决策算法与多种智能决策算法,验证了基于MDPSO的协同空战攻击决策算法有着较好的综合性能。     

Approximation results for min‐max path cover problems in vehicle routing

This article studies a min‐max path cover problem, which is to determine a set of paths for k capacitated vehicles to service all the customers in a given weighted graph so that the largest path cost is minimized. The problem has wide applications in vehicle routing, especially when the minimization of the latest service completion time is a critical performance measure. We have analyzed four typical variants of this problem, where the vehicles have either unlimited or limited capacities, and they start from either a given depot or any depot of a given depot set. We have developed approximation algorithms for these four variants, which achieve approximation ratios of max{3 ‐ 2/k,2}, 5, max{5 ‐ 2/k,4}, and 7, respectively. We have also analyzed the approximation hardness of these variants by showing that, unless P = NP , it is impossible for them to achieve approximation ratios less than 4/3, 3/2, 3/2, and 2, respectively. We have further extended the techniques and results developed for this problem to other min‐max vehicle routing problems.© 2010 Wiley Periodicals, Inc. Naval Research Logistics, 2010     

谈谈《开国将帅》系列肖像油画

王孝柏同志创作的系列肖像油画--<开国将帅>,是一项艰巨、浩大的油画创作工程.它是以为共和国诞生立下显赫战功的十大元帅和十大将为创作对象,每位将帅的形象按构思要求,均须设计为胸像式的"标准像"构图,每位将帅的服装、佩饰基本一致,形式统一.     

运动目标轨迹分类与识别

运动目标轨迹识别是运动分析中的基本问题,其目的是解释所监视场景中发生的事件,对所监视场景中运动目标轨迹的行为模式进行分析与识别,智能地做出自动分类.对轨迹有效性判断后采用K均值聚类,引入改进的隐马尔可夫模型算法,针对轨迹的复杂程度对各个轨迹模式类建立相应的隐马尔可夫模型,利用训练样本训练模型得到可靠的模型参数,计算测试样本对于各个模型的最大似然概率,选取最大概率值对应的轨迹模式类作为轨迹识别的结果,对两种场景中聚类后的轨迹进行训练与识别,平均识别率较高,实验结果表明该方法是有效的.     

带紧扰动的极大单调算子的满值性定理

将周海云关于m-增生算子的有关结果推广到极大单调算子场合。     

卡尔曼滤波在坦克目标状态估计中的应用

分析了现有机动目标数学模型及其卡尔曼滤波算法,并用数字信号处理器(DSP)对一个实际算法进行了实验.实验结果表明目标机动性能的提高将使坦克火控系统由于采用现行目标运动模型而产生较大的误差,因此,在火控系统中采用其他模型,如自适应模型等,势在必行.同时,对于跟踪精度高、实时计算量大的卡尔曼滤波算法,应用DSP技术实现具有良好的发展前景.     

坦克火炮控制系统动态仿真

坦克火炮控制系统的仿真和分析是系统设计和改进的重要内容.MATLAB\SIMULINK是先进的控制系统仿真工具.本文以我军某型坦克为背景,对高低向火炮控制系统进行了动态分析,在仿真分析结果的基础上对控制器的改进提出了意见.