用于目标跟踪无线传感器网络的动态分簇算法

针对跟踪精度和网络能耗的问题,提出了一种用于目标跟踪无线传感器网络的基于预测的动态分簇算法.把目标运动过程看作是高斯马尔可夫过程,根据目标历史轨迹,估计下一时刻位置坐标和运动速度,然后基于估计结果优化选择分簇的簇头和簇成员,形成一个动态分簇来实现目标跟踪.仿真结果表明:该算法使目标跟踪有较好的跟踪精度,能有效均衡网络能耗,延长网络寿命.     

某型发电机可靠性试验系统研究

为了对某型发电机进行可靠性试验,根据试验需求,设计了带能量反馈的试验系统。该系统与发电机输出带纯电阻性负载方案相比,大大节约了试验的耗电量,并利用仿真软件PSCAD/EMTDC建立了试验系统的仿真模型,对系统在不同扰动下的动态特性进行了仿真研究。仿真结果与试验结果相吻合,说明所建试验系统模型的正确性,也得出了该试验系统具有良好的运行稳定性的结论。     

舰用中冷回热燃气轮机装置动态性能分析

中冷回热循环(ICR)燃气轮机因其优越的全工况性能正日益受到船舶和工业领域的关注。通过分析ICR燃气轮机的变工况特性,采用模块化建模法仿真,对ICR燃气轮机进行动态性能分析,并与简单循环燃气轮机仿真结果进行比较。结果表明,换热器的热惯性对机组的动态性能影响较大,时间常数愈大,达到新平衡所需时间愈长;ICR燃气轮机不仅在设计工况点的效率和功率都有明显提高,而且在低工况下仍有良好的经济性,动力涡轮采用进口导叶面积可调可进一步改善ICR燃气轮机装置的部分工况性能。     

Dynamic lot‐sizing model with production time windows

We consider a dynamic lot‐sizing model with production time windows where each of n demands has earliest and latest production due dates and it must be satisfied during the given time window. For the case of nonspeculative cost structure, an O(nlogn) time procedure is developed and it is shown to run in O(n) when demands come in the order of latest production due dates. When the cost structure is somewhat general fixed plus linear that allows speculative motive, an optimal procedure with O(T⁴) is proposed where T is the length of a planning horizon. Finally, for the most general concave production cost structure, an optimal procedure with O(T⁵) is designed. © 2007 Wiley Periodicals, Inc. Naval Research Logistics, 2007     

网络环境下的知识产权保护探索

网络技术的快速发展给知识产权的保护工作带来了前所未有的冲击和挑战。只有进一步提高全民族的创新精神和知识产权保护意识,同时通过扎实有效的工作,坚决遏制侵犯知识产权违法犯罪行为,才能真正增强全社会创造、管理、运用、维护知识产权的意识和能力,形成良好的网络环境下知识产权保护的长效机制。     

基于动态数据驱动的多UAV实时任务规划

针对在实时动态条件下多UAV任务规划问题,提出了基于动态数据驱动的多UAV实时任务规划仿真平台,主要包括基于MultiUAV2的真实UAV群仿真平台和基于Multi-Agent的预测仿真平台两个部分。采用了A*算法对真实系统工作流进行探索,在此基础之上构建了多UAV合成工作流模型,然后针对动态数据注入运行仿真的问题,研究了传感器任务重置及传感器的预处理方法。最后,通过一个仿真实例验证了提出方法的可行性和有效性。     

Dynamic inventory control with limited capital and short‐term financing

For most firms, especially the small‐ and medium‐sized ones, the operational decisions are affected by their internal capital and ability to obtain external capital. However, the majority of the literature on dynamic inventory control ignores the firm's financial status and financing issues. An important question that arises is: what are the optimal inventory and financing policies for firms with limited internal capital and limited access to external capital? In this article, we study a dynamic inventory control problem where a capital‐constrained firm periodically purchases a product from a supplier and sells it to a market with random demands. In each period, the firm can use its own capital and/or borrow a short‐term loan to purchase the product, with the interest rate being nondecreasing in the loan size. The objective is to maximize the firm's expected terminal wealth at the end of the planning horizon. We show that the optimal inventory policy in each period is an equity‐level‐dependent base‐stock policy, where the equity level is the sum of the firm's capital level and the value of its on‐hand inventory evaluated at the purchasing cost; and the structure of the optimal policy can be characterized by four intervals of the equity level. Our results shed light on the dynamic inventory control for firms with limited capital and short‐term financing capabilities.Copyright © 2014 Wiley Periodicals, Inc. Naval Research Logistics 61: 184–201, 2014     

车辆运动数学模型辅助的动基座对准方法

针对车载捷联惯导(SINS)在外部传感器失效时无法实现动基座对准的问题,提出了基于车辆运动模型辅助的动基座对准方法。与传统方法不同的是,该方法利用车辆在路面上的运动特性,利用车辆运动模型测得的虚拟观测量来提供辅助信息,从而实现SINS的动基座对准,仿真结果表明:对于中等精度惯导,在外部传感器失效时,利用车辆运动模型提供的辅助信息,水平对准精度为0.37°,方位对准精度为5.86°,对准时间小于150 s,依然能够快速有效地实现动基座对准。     

基于混沌pso算法的实时动态目标分配

任务分配是多导弹协同攻击目标的重要前提,在充分考虑满足复杂战场环境各种约束的条件下,提出了基于混沌粒子群算法的实时动态算法,使得算法在求解WTA问题时具有处理意外目标和任意时刻响应当前战场状态的实时动态特性。并为了解决战场环境中各不确定性因子对新加入目标优先级的影响,提出基于三元区间数表示关联熵的复合物元目标排序方法。