空间拦截弹的最优制导与非线性滤波

本文提出了一种空间拦截弹的最优制导和非线性滤波方法。由于采用一种新的剩余时间算法，在空间拦截弹的弹体纵轴方向无轨道控制发动机的情况下，也可以实现这种最优导引规律。本文所采用的非线性滤波算法＝自适应修正增益推广Ｋａｌｍａｎ滤波器具有很好的稳定性，而且估计精度高。     

光电积分测色中筛子式数值修正

利用计算机仿真技术，虚拟了数十万个不同的光谱相对功率分布，对光电积分测色中不同测量区间的系统误差进行了详细的计算机仿真实验。实验结果表明：对不同的测量区间，光电积分式测色有不同的系统误差；可利用筛子式数值修正技术将光电器件的测量准确度提高约２个数量级。     

最小阶时分滤波器及其在运载体对准中的应用

设计一种时分降低滤波器用来进行运载体惯导系统的动态对准和传递对准，假定运载体惯导系统已标定的。在运载体水平直线运动的短时间内，两个二阶滤波以时分工作方式估计平台水平失调角，在消除水平失调角后，运载体在垂直与当地垂线的水平面内机动，此时用一个三阶（或四阶）滤波器来估计方位失调角，另外，在本文中给出该滤波器的数据压缩算法，来提高估计精度。     

多通带线性相移滤波器的数字仿真及其应用

本文利用数字仿真定理［１］，设计了多通带线性相移模拟滤波器的数字系统，探讨了设计原则和步骤，并依此编写了Ｃ语言通用设计软件，给出了设计实例与应用实例     

Schlieren方法中的二维空间滤波效应

在分析一维Ｓｃｈｌｉｅｒｅｎ方法不能有效显示二维弱位相分布的基础上，为有效地显示二维位相梯度分布，构造了几类二维直角空间滤波函数，并分别计算了它们的滤波效应．结果表明几类二维空间滤波都可以较大的衬度同时显示二维弱位相梯度分布，且不同形式的二维空间滤波对像面强度分布的“直流”分量有影响．     

话务台微机计次系统

话务台微机计次系统选用８０３１单片机作为前台机实时采集数据，选用３８６个人微机作为后台机用高级语言分析处理和储存数据，解决了采集数据、数据处理和数据传输等问题。     

AMT 模糊自适应滤波技术

信息处理技术是实现车辆起步控制的关键。对于转速脉冲信号，因为包含高频过零脉冲，其滤波十分困难，为此本文引入模糊推理技术，采用人工智能的方法进行自适应滤波。实验证明其滤波效果十分明显。     

基于应用网关的防火墙安全系统的设计与实现

文中给出了一和中基于应用网关的防火墙安全系统的设计与实现的方法。重点介绍了系统安全策略以及所采用的分组滤波，基于ＩＰ层的 密这两种主要技术。     

Open Embedded Control

Embedded control devices today usually allow parameter changes, and possibly activation of different pre-implemented algorithms. Full reprogramming using the complete source code is not allowed for safety, efficiency, and proprietary reasons. For these reasons, embedded regulators are quite rigid and closed concerning the control structure. In several applications, like industrial robots, there is a need to tailor the low level control to meet specific application demands. In order to meet the efficiency and safety demands, a way of building more generic and open regulators has been developed. The key idea is to use pieces of compiled executable code as functional operators, which in the simplest case may appear as ordinary control parameters. In an object oriented framework, this means that new methods can be added to controller objects after implementation of the basic control, even at run-time. The implementation was carried out in industrially well accepted languages such as C and C++. The dynamic binding at run-time differs from ordinary dynamic linking in that only a subset of the symbols can be used. This subset is defined by the fixed part of the system. The safety demands can therefore still be fulfilled. Encouraged by results from fully implemented test cases, we believe that extensive use of this concept will admit more open, still efficient, embedded systems.     

Automated Meta-Control for Adaptable Real-Time Software

The software meta-controller is an online agent responsible for dynamically adapting an application's software configuration, e.g. altering operational modes and migrating tasks, to best accommodate varying runtime circumstances. In distributed real-time applications such adaptations must be carried out in a manner which maintains the schedulability of all critical tasks while maximizing some notion of system value for all other tasks. For large-scale real-time applications, considering all possible adaptations at the task-level is computationally intractable. This paper presents an automated aggregate approach to software meta-control, appropriate for large-scale distributed real-time systems. The aggregate automated meta-control problem is still NP-hard, but it has very practical approximate solutions. Introduced, here, are two very-effective approximation algorithms, QDP and GG, with very reasonable polynomial time complexity. Both algorithms also provide us with upper bounds for optimum system values, useful for deriving absolute, albeit somewhat pessimistic, measures of actual performance. Extensive Monte Carlo analysis is used to illustrate that expected performance for both algorithms is generally suboptimal by no more than a few percent. Our flexible software meta-control model is also shown to be readily applied to a wide range of time-sensitive applications.