一类随机非单调二元算子的随机不动点定理

利用Mann迭代技巧,讨论了不具有紧性条件的随机非单调二元算子方程随机不动点的存在唯一性,并给出了迭代序列收敛于解的误差估计,所得结果是某些已知结果的本质改进和推广。     

Flexibility and complexity in periodic distribution problems

In this paper, we explore trade‐offs between operational flexibility and operational complexity in periodic distribution problems. We consider the gains from operational flexibility in terms of vehicle routing costs and customer service benefits, as well as the costs of operational complexity in terms of modeling, solution methods, and implementation challenges for drivers and customers. The period vehicle routing problem (PVRP) is a variation of the classic vehicle routing problem in which delivery routes are constructed for a period of time; the PVRP with service choice (PVRP‐SC) extends the PVRP to allow service (visit) frequency to become a decision of the model. For the periodic distribution problems represented by PVRP and PVRP‐SC, we introduce operational flexibility levers and a set of quantitative measures to evaluate the trade‐offs between flexibility and complexity. We develop a Tabu Search heuristic to incorporate a range of operational flexibility options. We analyze the potential value and the increased operational complexity of the flexibility levers. © 2006 Wiley Periodicals, Inc. Naval Research Logistics, 2007     

基于模糊滑模控制的航空EMA调速系统

永磁无刷直流电动机是航空机电作动器(EM A)实现作动控制的关键部件,而电机控制方式的优劣则是决定航空EM A调速系统性能的重要因素。传统的滑模变结构控制策略由于存在抖振现象,对永磁无刷直流电机的控制精度和稳定性不利。针对航空EM A调速控制精度要求高的特点,将模糊控制和滑模控制相结合,把开关函数及其微分作为输入量,通过模糊推理获得滑模控制的控制量,该控制器既保持了常规模糊控制器的优点,又减弱了滑模控制的抖振现象。仿真及实验表明:该控制器稳定性好,对参数变化有很强的鲁棒性,系统响应速度快,具有较高的控制精度。     

雷达组网系统责任区抗干扰优化部署

针对有源压制干扰对雷达组网系统的威胁,深入分析了雷达组网系统的抗干扰优化部署问题,建立了雷达组网系统责任区抗干扰优化布站决策模型,并给出了具体的算法和求解分析.仿真结果验证了该方法的有效性,可为雷达组网系统的实际优化部署提供参考.     

地空导弹武器系统抗饱和攻击能力研究

通过确定地空导弹武器系统抗饱和攻击能力的重要效能指标,分析地空导弹武器系统服务每枚来袭目标的过程,建立了地空导弹武器系统服务模型。在此基础上,建立了一种基于MonteCarlo法的地空导弹武器系统抗饱和攻击能力模型,并对模型进行了仿真分析。结果表明,该模型可真实地反映目标流强度对地空导弹武器系统服务目标数、杀伤目标数和消耗弹药数的影响,可为地空导弹武器系统的运用提供有益参考。     

基于神经网络信息融合技术的卫星定姿算法

姿态确定系统是卫星姿态控制系统中的重要组成部分,卫星姿态确定的精度直接影响卫星控制精度.为得到高姿态精度,针对由惯性测量单元(Inertial Measurement Unit),红外地平仪和太阳敏感器组成的卫星姿态确定系统,分别采用BP网络算法和径向基(RBF)网络算法对不同的姿态敏感器的输出数据进行融合,并用STK(Satellite Tool Kit)数据进行了仿真.仿真分析结果表明这两种学习算法均可以提高卫星定姿精度,相对而言,RBF网络无论是精度上还是收敛速度上均优于BP网络.     

一种Mini-SAR的极坐标成像算法

Mini-SAR技术是目前SAR领域一个新兴的重要研究方向,但目前投入实用的成像算法很少。针对Mini-SAR的成像原理,给出了一种新的投入实用的极坐标成像算法,通过对该算法优缺点的研究,分析了Mini-SAR成像场景、分辨率及作用距离三者之间的关系,讨论了该算法对成像场景尺寸的限制要求,明确了算法的适用条件;最后利用某型Mini-SAR实际复数图像数据验证了该算法的正确性。研究结论对国内小型SAR的研制具有一定参考价值。     

高功率电磁环境下C4ISR系统接口电路的阈值实验

采用非接触式电流脉冲注入法,设计了一种通用的接口电路实验模型和测试软件,进行了高功率电磁脉冲对指控系统接口电路的注入损伤实验,测量接口电路耦合电压和耦合电流,并对实验结果进行了分析.实验表明,强电磁能量耦合到电子装备和电气设备内部,可在其接口电路上产生过电压或过电流,从而使设备受到干扰和损伤.     

Optimal policies under the shortage probability criterion for an inventory model with unknown dependent demands

The principal innovation in this paper is the consideration of a new objective function for inventory models which we call the shortage probability criterion. Under this criterion we seek to minimize the total expected discounted cost of ordering subject to the probability that the stock level at the end of the period being less than some fixed quantity not exceed some prescribed number. For three different models we show that the minimum order policy is optimal. This result is then applied to a particular inventory model in which the demand distribution is not completely known. A Bayesian procedure is discussed for obtaining optimal policies.