基于广义系统表达式的模糊系统稳定性分析

研究不确定T-S模糊系统的稳定性问题,并基于模糊广义系统表达式,给出了系统稳定的充分条件。在此基础上,转化为求解线性矩阵不等式的问题。与以往结果相比,减少了求解过程的计算量。同时,为了得到更为松弛的线性矩阵不等式条件,提出一种新的模糊控制器设计及模糊Lyapunov函数。算例说明所提方法有效和可行。     

基于分布式专家系统的运载火箭故障诊断技术

针对运载火箭结构庞大,各分系统纵横交错、相互耦合的特点,基于分布式专家系统思想,提出了一种分布式运载火箭故障诊断技术方案.该方案采用产生式知识表达技术,将专家知识通过由测点表、征兆表、规则表和结论表组成的4表结构来表示,具有表述清晰、易于扩展和移植的特点.推理机制采用分布式推理和分级推理相结合的方式.分布式推理将运载火箭的系统级故障与各分系统级故障分别同时进行诊断,可有效提高诊断速度.分级推理将危害级别高的故障优先进行诊断,因此运载火箭一旦有危害程度大的故障发生时,可以及时发现、及时处置,从而使故障对系统的影响降至最低.      

基于算子理论的系统可重构性评价与自主重构

针对航天器在轨资源严重受限（包括计算资源、硬件资源以及能量资源）的特点，开展了基于算子理论的航天器姿态控制系统可重构性评价方法和自主重构策略的研究。首先，基于稳定核表示（SKR）和稳定像表示（SIR）的算子理论给出了系统可重构性评价指标，定量地描述了系统的重构能力，突破了基于互质分解理论的系统可重构性评价方法对系统线性性质的局限。同时，基于以上结果，给出了系统可重构性最大边界，为设计人员设计自主重构策略提供了明确的指标；然后，通过在设计阶段考虑系统可重构性，充分挖掘并利用系统重构潜力，为自主重构策略的设计提供理论指导；最后，通过仿真验证了所提方法的有效性和正确性。     

PCM测控系统自检分系统的设计

一个与系统匹配的自检系统 ,在测控系统的研制、调试、试飞等主要环节和过程中是不可缺少的组成部分 ,对提高系统的可靠性和可维护性有重要作用。针对这种问题 ,为某无人机测控系统设计了采用 CPL D器件实现的自检测系统 ,其特点是体积小 ,功耗低 ,简单实用。还详细介绍了遥测系统自检分系统的设计及其硬件实现     

基于CPLD的循环冗余校验码的实现

本文介绍了利用VHDL语言，在MAXPLUSⅡ平台上，使用CPLD实现串行、并行两种信源方式的CRC码的设计及其模型验证结果。无论是串行，还是并行的信源要想实现CRC码设计必须建立校验、纠错两个模块，完成数据传输中的差错控制。同时在用硬件实现CRC码传输的过程中，比较了串、并两种方式的优缺点。     

采用等高线地图的CGF地域表示和推理

采用等高线地图作为分布交互仿真环境中计算机生成兵力的地域表示．介绍等高线电子地图下计算机生成兵力系统地域表示和推理的一种方法．通过对地域显示、通视性检测和地形检测等几个基本问题的分析，表明采用该方法是可行的．具有地域表示范围大、地域推理简单明了的特点，并且地域数据真实、修改方便．这种方法比多边形地域表示法更适用于海上和空中大范围训练作战环境的仿真．     

Enhanced multipath mitigation method based on multi-resolution CNR model and adaptive statistical test strategy for real-time kinematic PPP

This study proposes an enhanced multipath mitigation method based on multi-resolution carrier-to-noise-ratio (CNR) model and adaptive statistical test strategy for real-time kinematic precise point positioning (PPP) applications. The multi-resolution CNR model is established with GPS observation data collected from DOY 152 to 181 of 2019 by 230 globally distributed IGS stations, which used to analyze the relevant factors affecting CNR. Statistical results indicate that the CNR is not only related to the satellite elevation, but also closely related to the receiver types and specific satellite. The maximum difference between different receivers can reach 20 dB for the same satellite at the same elevation. In addition, the performance of the CNR is also obviously different between each satellite, and the maximum difference between different satellites is about 10 dB for the same receiver at the same elevation. Hence, in terms of the method which is based on CNR information for multipath detection and mitigation, the independence of receiver types, satellite and frequency must be considered. With the above analysis, this study developed a multi-resolution CNR model based on different receiver types, different satellites and different elevation firstly. Then, combined with the adaptive statistical test strategy which is based on the difference of CNR between inter-frequency and the difference of CNR between adjacent epochs, the multipath can be detected effectively. For the epoch which affected by multipath, the down-weighted strategy based on CNR is adopted to mitigate the influence of multipath on positioning. Real-time kinematic PPP data are collected to assess the proposed method, and the results demonstrate that the proposed method can detect the multipath effectively, and the detection rate can reach 90.28%. Moreover, after adopting the mitigation strategy, the RMS bias of the east, north and up components are improved about 19.95%, 17.89% and 23.07% compared to the original results, respectively. It is worth noting that this proposed method is also suitable for other GNSS, such as GLONASS and BDS, but the corresponding CNR model must be established simultaneously.     

基于知识重用的刀具选配技术研究

在分析了传统刀具选配模式存在的不足的基础上,对基于知识重用的刀具选择技术进行了研究.采用实例推理技术进行刀具智能选择,对刀具智能选择过程中涉及的特征提取、知识表示、检索策略、相似度计算等实例推理的关键技术进行了研究.     

一种基于实例推理的刀具选配方法研究

为了快速准确地选择出合适的切削刀具,提出了一种基于实例推理的刀具选配方法,利用以往的经验和知识来解决新的刀具选择问题.重点研究了刀具选配实例的知识表示和检索匹配.最后举例验证了方法的可行性.