基于因子图的无人机全源导航关键技术研究

针对DARPA提出的全源导航需要快速集成并重新配置任意导航传感器的要求,结合民用无人机的任务需求,通过概率图模型相关原理,对基于因子图的无人机全源导航关键技术开展研究工作.采用因子图对系统状态更新过程进行表示,实现系统状态的递推与更新,完成传感器信息的数据综合.仿真结果表明,该方法能在传感器可用性时变的情况下,将不同传感器的数据进行有效融合,确保系统导航定位精度,使载体满足不断变化的任务需求与环境变化的要求.     

The effect of spatial truncation error on integral inversion of satellite gravity gradiometry data

The satellite gravity gradiometry (SGG) data can be used for local modelling of the Earth’s gravity field. In this study, the SGG data in the local north-oriented and orbital frames are inverted to the gravity anomaly at sea level using the second-order partial derivatives of the extended Stokes formula. The emphasis is on the spatial truncation error and the kernel behaviour of the integral formulas in the aforementioned frames. The paper will show that only the diagonal elements of gravitational tensor at satellite level are suitable for recovering the gravity anomaly at sea level. Numerical studies show that the gravity anomaly can be recovered in Fennoscandia with an accuracy of about 6 mGal directly from on-orbit SGG data.     

New Neural Network Response Surface Methods for Reliability Analysis

This article presents two new kinds of artificial neural network (ANN) response surface methods (RSMs): the ANN RSM based on early stopping technique (ANNRSM-1), and the ANN RSM based on regularization theory (ANNRSM-2). The following improvements are made to the conventional ANN RSM (ANNRSM-0): 1) by monitoring the validation error during the training process, ANNRSM-1 determines the early stopping point and the training stopping point, and the weight vector at the early stopping point, which corresponds to the ANN model with the optimal generalization, is finally returned as the training result; 2) according to the regularization theory, ANNRSM-2 modifies the conventional training performance function by adding to it the sum of squares of the network weights, so the network weights are forced to have smaller values while the training error decreases. Tests show that the performance of ANN RSM becomes much better due to the above-mentioned improvements: first, ANNRSM-1 and ANNRSM-2 approximate to the limit state function (LSF) more accurately than ANNRSM-0; second, the estimated failure probabilities given by ANNRSM-1 and ANNRSM-2 have smaller errors than that obtained by ANNRSM-0; third, compared with ANNRSM-0, ANNRSM-1 and ANNRSM-2 require much fewer data samples to achieve stable failure probability results.     

基于智能图搜索的滑翔式高超声速飞行器路径规划方法

研究了高超声速飞行器在线路径规划问题。首先建立滑翔式高超声速再入飞行器动力学模型,在此基础上综合考虑高超声速飞行器在飞行过程中的动压约束、热流约束、过载约束等,对动力学模型进行解析计算,分析再入走廊,并进一步分析形成滑翔式高超声速飞行器的覆盖区域。基于飞行器覆盖区域并结合工程应用需求,提出速度分段的高超声速飞行器可达区域计算方法,确定在不同终端速度约束下的高超声速飞行器可抵达区域。并以此为基础,以各个速度分段的终端速度为节点,提出基于启发式路径搜索算法的分段路径规划方法,通过变步长图搜索算法可在飞行过程中在线确定各个速度分段区间的终点,完成分段路径搜索规划。最后通过数值仿真验证了所提出路径规划方法的有效性,结果表明,所提出的方法计算效率高,能够有效规划高超声速飞行器的机动飞行轨迹,具有一定的工程应用前景。     

2边连通3正则平面图的边着色

对具有正常３边着色的２边连通３正则平面图的顶点定义了方向，并且在这样的图上建立了路径上的积分，进一步给出了２边连通３正则平面图是３边可着色的等价条件。     

NURBS理论及其在CAID中的应用

本文探讨ＮＵＢＲＳ理论及其在ＣＡＩＤ中的应用。     

VLSI积木块布图设计中一种提高布通率的总体布线算法

论述了积木块布图设计中一种旨在提高布通率的总体布线算法。该算法以求解最小斯坦纳树算法为基础，采用总体布线资源动态调整，不断优化的方法，获得很高的布通率，该算法在ＶＬＳＩ－ＣＡＤ系统中应用取得很好的效果。     

全变差正则化方法对一类热传导反问题的应用

热传导终端反问题是典型的不适定问题,应用基于全变差的正则化方法来获得它的稳定数值解,将近似解的求解范围由连续函数空间扩大到了有界变差函数空间,并将固定点迭代法用于求解非线性的Euler方程,并进行了理论分析和数值实验。结果表明:该方法与算法具有高效稳定全局收敛等优点。     

用形态图方法绘制圆柱与圆球相贯图谱

基于形态图的计算理论和方法 ,提出了绘制圆柱体和圆球相贯图谱的方法。建立了圆柱体和圆球相贯的几何模型和数学模型 ,分析并确定了投影空间的维数为 4维 ,给出了投影空间的表示。分析并确定了圆柱体和圆球相贯的三面投影图中所产生的视觉事件类型 ,得到了圆柱体和圆球的相贯图谱     

图论最大流理论在机场登机口分配中的应用

为提高登机口的利用率、提升航空旅客出行的便捷性与舒适性、提高机场的运行效率及航空公司的运营效益,在图论中网络最大流理论的基础上,将旅客步行距离、机场资源运行效率、飞机最短过站时间、＂航班对＂、机型等作为约束条件,考虑航站楼布局、始发/终到及中转旅客数量等因素对登机口分配结果的影响,建立旅客登机口分配的优化网络模型,并对该算法的复杂度和最优性进行分析和证明。最后,运用实例来验证该方法在缩短旅客步行距离和提高机场运行资源利用率方面的可行性,该算法也可用于飞机停靠机位的优化安排。