Optimal robust non-fragile Kalman-type recursive filtering with finite-step autocorrelated noises and multiple packet dropouts

In this paper, the optimal robust non-fragile Kalman-type recursive filtering problem is studied for a class of uncertain systems with finite-step autocorrelated measurement noises and multiple packet dropouts. The system state, measurement output and filter parameters are all subject to stochastic uncertainties or multiplicative noises, where the measurement noises are finite-step autocorrelated. When there exist multiple packet dropouts in the system output, the original system is converted into an auxiliary stochastic uncertain system by the augmentation of system states and measurements. The process noises and measurement noises of the auxiliary system are shown to be finite-step autocorrelated and cross-correlated. Then, a robust non-fragile Kalman-type recursive filter is designed that is optimal in the minimum-variance sense. The proposed filter is not only robust against the uncertainties in the system model and measurement model, but also non-fragile against the implementation error with the filter parameters. Simulation results are employed to demonstrate the effectiveness of the proposed method.     

载人运输飞船多模式和姿态的外热流

在理论分析的基础上,建立了飞船外热流分析模型,解算出不同飞行姿态和模式下的外热流,分析得到外热流变化规律,得出极端外热流工况.分析结果表明:当姿态为三轴稳定时,外热流随受硒因子增大而增加;由三轴稳定转为偏航机动后外热流突然减小,且随受硒因子增大而减小.     

Robust adaptive filtering method for SINS/SAR integrated navigation system

This paper presents a new robust adaptive filtering method for SINS/SAR (Strap-down Inertial Navigation System/Synthetic Aperture Radar) integrated navigation system. This method adopts the principle of robust estimation to adaptive filtering of observational data. A robust adaptive filter is developed to adaptively determine the covariance matrix of observation noise, and adaptively adjust the covariance matrix of system state noise according to the adaptive factor constructed based on predicted residuals. Experimental results and comparison analysis demonstrate that the proposed method cannot only effectively resist disturbances due to system state noise and observation noise, but it can also achieve higher accuracy than the adaptive Kalman filtering method.     

威海天文台1米望远镜天体测量试验

利用威海天文台1米望远镜观测了2009年10月7日晚的疏散星团M39.观测过程中使用了I滤光片,并将CCD绕光轴旋转90°分别成像.使用最新的UCAC3星表和Platais的自行星表归算表明,该望远镜具有良好的天体测量性能,最好的单次位置测量精度达到了4～5 milli-arcsec.此外,观测资料还发现UCAC3星表具有明显的自行不准确性,证实了文献[14]的最新发现.     

Technology of Modeling for Shape Memory Alloy Reinforced Composites

在对形状记忆合金增强复合材料层合板进行应力、应变和温度关系实验的基础上 ,建立了形状记忆合金增强复合材料四边形和三角形板单元模型 ,并推导了相应的有限元公式 .在此基础上编制了能够进行静态和动态分析的有限元程序 ,并利用该程序对形状记忆合金增强复合材料悬臂梁进行了分析 ,结果是令人满意的 .随着对形状记忆合金研究的进一步发展 ,这种材料必将在智能材料和结构设计中发挥越来越重要的作用 .     

空间拦截中只测量视线角速度的跟踪滤波器的可观性分析

建立了空间拦截中导弹与目标的相对运动方程。论述了卡尔曼滤波器的可观性准则，研究了跟踪滤波器的可观性，并分析了影响跟踪滤波器可观性的因素。数字仿真证实了理论的正确性。     

单通道民用飞机客舱气流组织数值仿真研究

建立了单通道民用飞机客舱气流组织数值仿真模型,对不同的送风角度、送风速度和送风比例等状态的客舱气流组织进行了数值仿真研究,通过对比分析不同状态的仿真结果的流场、温度场、预期不满意百分率PPD、预测平均反应PMV、吹风感所引起的不满意率DR及其垂直温差导致的不满意率PD等热舒适性参数,发现水平角度送风、上风口较低风速和下风口较大风速、上风口风量少于下风口的设计较为合理。     

新型内绝热技术的突破性进展

对尾开口小(或封闭式头部)的发动机内绝热工艺技术进行研究。应用溶胶凝胶分配理论,研究了复杂结构的绝热材料预成型、多种材料模压和一体化真空热粘工艺,钢/绝(K/J)粘接强度≥3.0 MPa,解决了小开口钢壳体内绝热工艺难题。超声波探伤检验无脱粘,发动机地面试车考核成功。该技术为发动机内绝热提供了一种新的成型途径。     

精品课程建设平台的构建与实践

介绍精品课程建设平台的构建方式,阐述了课程建设的基本思路和基于此平台的网络课程开发方法,对于进一步推动、发展精品课程建设,推广精品课程建设平台的使用具有一定的现实意义.     

设备性能参数库两种概念模型的设计与分析

从分析电子战设备性能参数的数据特点入手,总结了设备性能参数库实体关系模式和竖表模式两种概念模型的设计思路、关键技术及其优缺点和适用性。工程应用结果表明,实体关系模式适用于从属仿真系统的数据库子系统;竖表模式适用于独立的情报数据库系统。