模糊传感器与区间型多属性决策的信息融合方法

对于日益复杂的信息环境和变化的目标特性,现有的多传感器信息融合方法大多为"静态的",较少考虑传感器可信度变化以及测量过程中的多维特征指标权重的时效性给融合结果带来的影响.为了解决此问题,提出了一种基于模糊理论与区间型多属性决策的信息融合方法.该方法从各传感器对模糊命题支持度的一致性来定义其信息质最优化度,用区间数与多属性决策理论来定义特征识别综合置信度,并从这两方面客观确定了传感器的融合权重,较好地解决了对传感器信息与目标特征权重为模糊与不确定时的合理评价,以此构建了一个智能优化决策层融合识别模型.最后以弹道目标识别实验证明了此方法有较好的时效性和准确性.     

LEVEL DECISION-MAKING FOR AERO-ENGINE MODULES BASED ON INCREMENTAL KNOWLEDGE LEARNING

The maintenance of an aero-engine usually includes three levels, and the maintenance cost and period greatly differ depending on the different maintenance levels. To plan a reasonable maintenance budget program, airlines would like to predict the maintenance level of aero-engine before repairing in terms of performance parame- ters, which can provide more economic benefits. The maintenance level decision rules are mined using the histori- cal maintenance data of a civil aero-engine based on the rough set theory, and a variety of possible models of upda- ting rules produced by newly increased maintenance cases added to the historical maintenance case database are in- vestigated by the means of incremental machine learning. The continuously updated rules can provide reasonable guidance suggestions for engineers and decision support for planning a maintenance budget program before repai- ring. The results of an example show that the decision rules become more typical and robust, and they are more accurate to predict the maintenance level of an aero-engine module as the maintenance data increase, which illus- trates the feasibility of the represented method.     

基于HLA的舰空导弹协同制导作战仿真系统方案

针对舰空导弹协同制导仿真系统的设计问题,通过给定舰舰协同和空舰协同这两种典型协同制导作战模式的作战流程,对仿真系统的组成及组成单元的模型构成进行了深入的分析。基于高层体系结构HLA(High Level Architecture)分布式仿真技术,对分布式半实物的协同制导仿真系统进行了方案设计,并且通过采用实时操作系统内核和半实物仿真代理联邦成员的方法,有效地解决了半实物仿真的实时性要求和半实物仿真与分布式仿真的互操作等关键问题。     

空中力量体系分布式决策机制研究

针对空中力量体系对抗实际,抽象出空中力量体系的决策网络,进而分析分布式决策的概念及内容,构建空中力量体系分布式决策机制,提出协商轮次、方案包容度、方案接受度、方案分散度等概念,给出了分布式决策机制运行流程,最后通过Matlab软件进行实例仿真。研究结果表明,该决策机制能够快速、有效地实现分布式决策。     

未来航空发动机控制技术的发展趋势

发动机控制系统在航空发动机系统中占有非常重要的地位,其性能的优劣直接影响到发动机及飞机的性能。本文针对未来航空发动机发展对控制系统的要求,分析了航空发动机控制技术的发展趋势。     

软件总线体系结构的研究与应用

设计一种轻量级软件总线体系结构,将软件总线思想引入到单机软件系统的定制与集成.软件总线技术源于分布式异构环境搭建提出的,应用于分布式系统.对传统软件总线结构进行改进,采用双总线结构,摒除不必要的分布式功能,使轻量级软件总线成为一种适用于单机环境的软件体系结构.通过创建一个基于轻量级软件总线体系结构的模拟银行服务排队系统,验证轻量级软件总线作为单机软件系统的搭建架构具有可行性.     

分布式创新中技术知识整合框架研究

基于演化、资源和知识的视角,提供了分布式创新中技术开发背景下技术知识整合的分析框架。从三个视角研究分布式创新要素,阐述了知识、知识转移和执行之间的结构关系,为企业整合知识资源,提高分布式创新能力提供借鉴和指导。     

认知协作Ad Hoc网络中分布路由跨层控制策略

认知无线电Ad Hoc网络中,吞吐量最大化是一个关键的挑战.为了实现这一目标,协同传输是前景看好的技术,利用在每个空间节点的多样性中继链路以增加性能,特别是在无线环境中由于不同的信道质量、有限的能源和带宽资源,这种想法是有吸引力的.文章在分布式动态环境下,研究了联合动态路由.中继分配和频谱分配分布式和本地算法,提出了一...     

A Fast Global Node Selection Algorithm for Bearings-only Target Localization

In the target tracking, the nodes aggregate their observations of the directions of arrival of the target. The network then uses an extended Kalman filter （EKF） to combine the measurements from multiple snapshots to track the target. In order to rapidly select the best subset of nodes to localize the target with the minimum mean square position error and low power consumption, this paper proposes a simple algorithm, which uses the location information of the target and the network. The lower botmd of localization error is utilized according to the distances between the target and the selected active nodes. Furthermore, the direction likelihoods of the active nodes is predicted by way of the node/target bearing distributing relationships.