一个新的组合恒等式及其证明

本文以定理的形式提出一个新的组合恒等式。它是在恒虚警算法研究和性能分析中经常遇到的恒等式。对此,文中给出详细的证明。在证明过程中,我们还提出了有关该定理在实际中可以直接应用的3个引理和2个推论。     

三维静磁场Lipschitz区域上Robin问题广义解的存在与唯一性

近年来,电磁场边值问题的数值解法取得了飞速的发展．由于电磁场边值问题是一类非线性偏微分方程,研究解的存在性、唯一性具有较大的困难．前人已讨论了B-H间的几个基本不等式,并由之证明了三雏静磁场带零边值问题广义解的存在与唯一性,作者也曾利用给出的B-H间的不等式证明了三维静磁场Neumann问题和二维时变场第一边值初值问题广义解的存在与唯一性．由于在一般区域讨论存在困难,作者利用Sobolev空间理论及单调算子理论证明了三雏静磁场Lipschitz区域上Robin问题广义解的存在与唯一性．     

基于磁流变阻尼器的车辆悬挂二自由度模型控制算法

将磁流变(MRF)新型阻尼减振器用于车辆悬挂减振系统中,用以实现变阻尼式履带车辆悬挂系统半主动控制。在基于线性二次型最优控制理论(LQR法)的基础上,对车辆悬挂系统的半主动控制算法进行了深入研究,建立了二自由度1/4车体的动力学模型,并对其控制效果进行了仿真,结果表明这种半主动控制算法对车辆悬挂系统的半主动有着很好的效果。     

基于Solidworks二次开发的两栖车辆浮态设计及静稳性分析

建立了描述车辆姿态向量和重力向量的两个坐标系,研究了姿态向量与坐标变换之间的关系,根据Solid-Works提供的函数,利用二分法求解了给定姿态下的浮心位置;以浮心计算为基础,通过对车辆的受力分析和运动分析,确定了车辆浮态的计算方法;利用SolidWorks的API函数进行二次开发,形成了计算静稳性的程序,并进行了实例计算。结果表明：与传统的作图法相比较,该方法计算结果更精确,计算速度更快。     

信息化条件下基层执勤部队人才培养的途径

随着武警部队三级综合通信网络的不断完善和功能拓展,基层执勤部队信息化人才的选拔培养和使用管理效益,已成为影响和制约信息化平台功能有效发挥的重要因素。     

活塞式磁通压缩发电机电枢涡流的有限元分析

为了研究活塞式磁通压缩发电机（P-MFCG）电枢内部涡流及周围的磁场分布,在Maxwell方程组的基础上,对电枢附近区域的磁场模型进行理论推导,得出电枢附近区域涡流场的控制方程。采用Ansoft有限元分析软件对应用于P-MFCG的柱状电枢上感应涡流、磁感应强度以及电枢所受电磁力的分布进行仿真分析,其结果对电枢的优化设计有重要参考意义。     

导弹部队作战仿真系统建设初探

作战仿真在未来导弹部队的作战运用中具有十分重要的地位作用,导弹部队作战仿真系统建设可从四个方面进行构想,仿真系统建设中必须要把握好作战仿真系统和其他仿真系统之间、各级仿真系统之间以及红蓝方仿真之间的关系。     

Purchase and retrieval competition for seasonal produce

We study the competition problem of purchase and multiretrieval of perishable seasonal produce, where wholesalers purchase and stock their products in the first period, and then retrieve and sell them in subsequent periods. We first consider the duopoly case and assume that the prices are exogenous and fluctuate. In each period, after the price realization, the wholesalers retrieve some stock from their warehouses to satisfy their demands. One wholesaler's unsatisfied customers can switch to another and be satisfied by its left retrieved products. Any unsold retrieved stock has no salvage value and any unsatisfied demand is lost. The unretrieved stock is carried to the next period at a perishable rate. The wholesalers compete for the substitute demand by determining their own purchase and retrieval quantities. We show the existence and uniqueness of a pure-strategy Nash equilibrium, and that the Nash equilibrium strategy has the simple “sell-down-to” structure. We also consider the general N-person game and show the existence of the Nash equilibrium, and characterize the structure of the equilibrium strategy for the symmetric case. In addition, we consider the case with endogenous prices, and show that the problem reduces to a repeated newsvendor game with price and inventory competition. We derive the conditions under which a unique Nash equilibrium exists and characterize the equilibrium strategy. Finally, we conduct numerical studies to examine the impacts of the model parameters on the equilibrium outcomes and to generate managerial insights.     

Optimal policies for stochastic clearing systems with time-dependent delay penalties

We study stochastic clearing systems with a discrete-time Markovian input process, and an output mechanism that intermittently and instantaneously clears the system partially or completely. The decision to clear the system depends on both quantities and delays of outstanding inputs. Clearing the system incurs a fixed cost, and outstanding inputs are charged a delay penalty, which is a general increasing function of the quantities and delays of individual inputs. By recording the quantities and delays of outstanding inputs in a sequence, we model the clearing system as a tree-structured Markov decision process over both a finite and infinite horizon. We show that the optimal clearing policies, under realistic conditions, are of the on-off type or the threshold type. Based on the characterization of the optimal policies, we develop efficient algorithms to compute parameters of the optimal policies for such complex clearing systems for the first time. We conduct a numerical analysis on the impact of the nonlinear delay penalty cost function, the comparison of the optimal policy and the classical hybrid policy (ie, quantity and age thresholds), and the impact of the state of the input process. Our experiments demonstrate that (a) the classical linear approximation of the cost function can lead to significant performance differences; (b) the classical hybrid policy may perform poorly (as compared to the optimal policies); and (c) the consideration of the state of the input process makes significant improvement in system performance.     

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。