多机器人编队控制研究

多机器人编队控制是多机器人协调控制中一个最具有挑战性的研究问题.首先简要概述了多机器人编队问题的研究现状.从面向问题的角度出发,将编队问题分解成编队角色分配、队形生成、队形变换与选择、编队跟踪4个子问题,并针对每个子问题,总结了现有的研究方法.最后,特别强调编队控制中的网络问题并指明未来的研究万向.     

Optimal pricing and scheduling control of product shipping

In this article, we seek to understand how a capacity‐constrained seller optimally prices and schedules product shipping to customers who are heterogeneous on willingness to pay (WTP) and willingness to wait (WTW). The capacity‐constrained seller does not observe each customer's WTP and WTW and knows only the aggregate distributions of WTP and WTW. The seller's problem is modeled as an M/M/N_s queueing model with multiclass customers and multidimensional information screening. We contribute to the literature by providing an optimal and efficient algorithm. Furthermore, we numerically find that customers with a larger waiting cost enjoys a higher scheduling priority, but customers with higher valuation do not necessarily get a higher scheduling priority. © 2015 Wiley Periodicals, Inc. Naval Research Logistics 62: 215–227, 2015     

积极贯彻军民融合式发展战略 推进海军装备体系建设科学发展

推进海军装备体系建设领域内军民融合式发展是新形势下加快海军战斗力生成模式转变的重大举措,事关海军长远发展。文章从推进海军武器装备军民融合式发展的重要性入手,分析了当前海军武器装备体系建设领域军民融合工作面临的形势,提出了研建信息交流平台、优化计划编制、更新采办策略、改进合同管理、完善监管手段等对策建议。     

基于复杂适应系统理论的一体化联合作战研究

复杂适应系统理论为我们研究军事系统提供了崭新的视角,避免了传统的基于还原论方法研究军事系统机械分隔忽略系统要素之间相互作用的问题,可以得到军事系统全面准确的认识,对于深入研究一体化联合作战的本质内涵、基本特征和主要方法,尽快形成一体化联合作战的理论体系具有重要意义。文章通过分析军事系统特点得出军事系统是复杂适应系统的结论,在此基础上,从复杂适应系统理论的角度分析了一体化联合作战的内涵及提高军事系统一体化联合作战能力需要重点解决的四个问题。     

《连续系统建模》的计算机辅助学习与考核系统

本文介绍了一个用于《连续系统建模》学习与考核的计算机辅助教学课件的功能和设计原理,重点介绍了系统动力学模型图的知识表达和建模行为的有效性度量的方法。     

Modeling and analysis of flexible queueing systems

We consider queueing systems with multiple classes of customers and heterogeneous servers where customers have the flexibility of being processed by more than one server and servers possess the capability of processing more than one customer class. We provide a unified framework for the modeling and analysis of these systems under arbitrary customer and server flexibility and for a rich set of control policies that includes customer/server‐specific priority schemes for server and customer selection. We use our models to generate several insights into the effect of system configuration and control policies. In particular, we examine the relationship between flexibility, control policies and throughput under varying assumptions for system parameters. © 2004 Wiley Periodicals, Inc. Naval Research Logistics, 2004     

Development programs for one‐shot systems using multiple‐state design reliability models

Design reliability at the beginning of a product development program is typically low, and development costs can account for a large proportion of total product cost. We consider how to conduct development programs (series of tests and redesigns) for one‐shot systems (which are destroyed at first use or during testing). In rough terms, our aim is to both achieve high final design reliability and spend as little of a fixed budget as possible on development. We employ multiple‐state reliability models. Dynamic programming is used to identify a best test‐and‐redesign strategy and is shown to be presently computationally feasible for at least 5‐state models. Our analysis is flexible enough to allow for the accelerated stress testing needed in the case of ultra‐high reliability requirements, where testing otherwise provides little information on design reliability change. © 2004 Wiley Periodicals, Inc. Naval Research Logistics, 2004     

基于微变焦法的超分辨率成像技术及实验研究

从空间域的角度分析了微变焦法的原理,微变焦过程可等效为改变每个光敏元所对应物辐射率分布区域的位置和大小,由此建立微变焦过程的空域模型为一个线性方程组,由该模型可描述观察图像和目标高分辨率图像之间的关系,并通过求解该方程组得到目标图像。最后做了面阵CCD的超分辨率成像实验,结果表明微变焦法可明显提高成像系统的分辨率。     

面向仿真的C4ISR系统领域分析与需求复用研究

面向C4ISR系统需求开发中的仿真支持问题,将复用作为一种的C4ISR系统需求模型的构建方法,可以快速形成一个有效的领域需求模型支持系统仿真验证。本文研究了C4ISR系统需求的领域性与领域需求共性问题,在此基础上研究了C4ISR系统需求工程中的需求框架、需求本体以及需求组件等不同粒度的复用方法,分别对上述三种方法在领域应用中的不同作用进行了对比分析。     

多阶段任务系统可靠性并联冗余优化模型

多阶段任务系统是一类普遍存在的复杂系统,研究其可靠性冗余优化对于该类系统设计具有重要的参考价值。针对多阶段任务系统的可靠性并联冗余优化问题,提出了采用冗余故障树和冗余BDD来描述系统冗余结构的方法。给出了冗余模块在多阶段任务系统中的可靠度计算方法,建立了整个冗余多阶段任务系统可靠度计算模型。在此基础上以费用最小为目标,构建多阶段任务系统可靠性冗余优化模型,并应用微粒群算法对模型进行求解。算例验证了模型的合理性及算法的有效性。