误差定性分析方法在机构导航系统中的应用

在分析机构导航误差的基础上,提出用泰勒级数展开法对机构导航系统的误差进行定性分析;同时,结合计算机辅助髓内钉远端锁定瞄准系统这一具体实例,对定性分析的结论和实际试验结果作了比较.比较结果说明该方法是准确有效的,能够为该类系统的设计及优化提供可靠的依据.      

基于非线性预测的发动机转速限控方法

研究对发动机最大转速进行非线性预测限制的方法。将发动机动态过程描述为二阶的V olterra级数模型,并由此建立它的非线性闭环预测模型。根据输入约束和控制目标,提出转速预测限制的滚动控制算法。对此进行了仿真,在超量的加速供油下,得到了预测限制的供油变化线和转速变化线。与比例反馈限制方法比较表明,预测控制方法能够解决燃烧延迟和发动机转子惯性的影响,准确实现转速限制,且其控制算法的计算量小,能符合实时性要求。      

全国内地非典型肺炎疫情自回归预报模型

利用时序分析方法研究从2003年4月27日开始卫生部办公厅发布的全国内地新增传染性非典型肺炎疫情报告，建立全国内地非典型肺炎疫情ARMAV预报模型，对模型进行适用性检验后，可以用所建模型对未来疫情进行外延预测。用时序分析方法进行监测、分析及预报，对非典型肺炎的疫情发展和关键影响因素等提供精度较高的预测结果。     

Leibniz判别法的推广

对交错级数收敛性判别法中的著名定理──Leibniz判别法进行了推广。     

基于非线性器件特征的辐射源识别

为提高雷达辐射源的正确识别率以满足航空电子对抗需求,提出基于非线性器件特征的辐射源识别方法.在非线性失真分析的基础上,通过谱再生现象的观测,对非线性器件的功率级数系数进行了估计,由于不同的雷达系统设计和随机组装,因此这种特征对每一辐射源是唯一的.仿真结果表明,该特征提取方法在低信噪比环境下可以获得高的辐射源识别率,证实...     

经济增长非线性时序预测方法研究

分析了经济系统非线性时诹预测的国内外研究现状、现代经济增长模型在预测中存在的不足之处，阐述了经济增长系统的非线性、动态反馈性、开放性等特征，并应用非线性时序理论，研究了经济增长的非线性时序预测问题，给出了经济增长非线性时序预测的方法。     

循环冗余码的软件实现方法及应注意的问题

】介绍了ＣＲＣ码并行算法的软件实现和串行算法的硬件实现方法，同时比较它们的差异，并指出了实践中应注意的问题     

模板类零件孔系的计算机辅助设计

本文介绍子模具设计中的模板类零件中的孔系的计算机辅助设计，对于位置参数相同而结构和尺寸不同的孔系零件，可以由一个孔位置定义文件设计所有的零件。零件用这种方法可以很方便地提高设计速度和设计质量。     

Present-day crustal movement of the Chinese mainland based on Global Navigation Satellite System data from 1998 to 2018

A total of more than 260 continuous stations and 2000 campaign stations from the Crustal Movement Observation Network of China (CMONOC) project, covering the Chinese mainland and its surrounding areas during the period of 1998–2018, are processed using the Bernese Global Navigation Satellite System (GNSS) software via a state-of-the-art method. We obtain the coordinate time series of all the stations given in the reference frame ITRF2014, estimate the coseismic deformation, and remove outliers. Lastly, we present the latest, most complete, and most accurate contemporary horizontal velocity field with respect to the stable Eurasian plate, irrespective of the postseismic deformations. This study shows that the signal of tectonic movement in Western China is stronger than that in Eastern China particularly in the Tibetan Plateau, with a rate of 18–32?mm/a. Moreover, the signal decays sharply from south to north. However, North China and South China move coherently to the ESE direction mostly at a rate of 4–10?mm/a and have not experienced any abrupt velocity gradients in their interiors. Meanwhile, Northeast China has the lowest velocity of only 2–4?mm/a in addition to the coastal areas that have slightly larger velocities. The densified and continuous observation of GNSS stations are of great significance to the study of the present-day crustal movement and tectonic deformation characteristics of the Chinese mainland. This would help to provide better constraints on the kinematics and dynamics of the region.     

Adaptive level of autonomy for human-UAVs collaborative surveillance using situated fuzzy cognitive maps

Collaborating with a squad of Unmanned Aerial Vehicles (UAVs) is challenging for a human operator in a cooperative surveillance task. In this paper, we propose a cognitive model that can dynamically adjust the Levels of Autonomy (LOA) of the human-UAVs team according to the changes in task complexity and human cognitive states. Specifically, we use the Situated Fuzzy Cognitive Map (SiFCM) to model the relations among tasks, situations, human states and LOA. A recurrent structure has been used to learn the strategy of adjusting the LOA, while the collaboration task is separated into a perception routine and a control routine. Experiment results have shown that the workload of the human operator is well balanced with the task efficiency.