基于神经网络和人工势场的协同博弈路径规划

协同博弈路径规划是空战自主决策、机器人体育比赛等应用场景中的重要问题，其难点在于对环境对抗性反馈的实时自适应和多智能体的相互配合。提出一种基于神经网络和人工势场的协同博弈路径规划方法，使用反向传播（BP）神经网络自适应调整人工势场函数系数，并将人工势场作为神经网络输出端的特征提取。为解决真实样本质量和数量不足的问题，基于遗传算法仿真生成样本数据用于神经网络训练，并通过滚动时域的思路面向动态博弈优化样本性能。从样本数据中提炼出距离差与航向差以反映协同和博弈特性，利用神经网络的黑盒特性和学习能力解决协同博弈问题。应用于二对一反隐身超视距空战路径规划，比经典人工势场法有明显性能提升，且计算开销可接受，计算复杂度分析表明该方法可以较好扩展到多机对抗场景。     

Using vegetation indices and texture measures to estimate vegetation fractional coverage (VFC) of planted and natural forests in Nanjing city,China

Vegetation fractional coverage (VFC) is an important vegetation parameter affecting exchanges of carbon, water, energy between the atmosphere and surface. In this study, the applicability of tonal and texture measures calculated using an IKONOS_2 image in retrieving VFC of forests was investigated in the urban area of Nanjing city, China. Four spectral vegetation indices (VI) and six texture measures (TEX) were related to VFCs acquired from in situ measurements. Models for estimating VFC based on VIs or/and TEXs were established and validated for planted low broad-leaf forest plots (PLB), planted mature forest plots (PMF), natural broad-leaf forest plots (NBF), and all forest plots (ALLv), respectively. The results show that high spatial resolution remote sensing data is applicable to estimate VFC in urban areas, and TEXs may act as effective supplements of vegetation indices (VIs) for the retrieval of VFC. VIs are suitable for VFC estimation of mature forests (such as NBF and PMF) with high vegetation density, and TEXs can yield a more accurate estimate for planted forests (such as PLB and PMF) with regular spatial distribution if they are calculated with proper parameters, such as window size. The combination of VIs and TEXs improve the estimation of VFC if forest types are not previously differentiated. The results can be used as a reference for determining effective spectral or texture parameters in VFC estimation under similar environmental conditions according to vegetation maturity and regularity.     

NONLINEAR PREDICTIVE CONTROL FOR TERRAIN FOLLOWING

ＮＯＮＬＩＮＥＡＲＰＲＥＤＩＣＴＩＶＥＣＯＮＴＲＯＬＦＯＲＴＥＲＲＡＩＮＦＯＬＬＯＷＩＮＧＣｕｉＨｕｔａｏ（崔祜涛），ＧｅｎｇＹｕｎｈａｉ（耿云海），ＹａｎｇＤｉ（杨涤）（ＨａｒｂｉｎＩｎｓｔｉｔｕｔｅｏｆＴｅｃｈｎｏｌｏｇｙ，Ｐ．Ｏ．Ｂｏｘ１３７，...     

我国直升机外部噪声控制技术发展思路研究

直升机外部噪声控制技术是直升机技术发展的重要方向。对直升机外部噪声控制技术的现状及发展趋势进行了分析，基于我国直升机外部噪声控制的技术基础，从基础研究、主被动控制技术等方面提出了我国直升机外部噪声控制技术的发展思路。     

基于CPM的停机坪航班保障工作方法研究

针对目前国内某大型机场停机坪各项航班保障工作的耗时，提出几条基于关键路径法（CPM）的规划建议。结合该机场停机坪航班保障工作的特点，对保障过程中的各项工作分别计时，在取得实测数据的基础上，利用修剪平均值算法得出样本中各项操作的平均耗时。以该机场停机坪各项保障工作为基本元素建立AOE网络，结合计算所得的平均耗时，按照CPM找出影响该机场停机坪航班保障工作总耗时的关键工作，从而明确该机场停机坪航班保障工作的关键路径。最终，在上述研究的基础上基于目前的实际情况下，提出了实现该机场停机坪航班保障工作最佳方法的三条建议，为优化机场资源、缩短航班过站时间、提高航班运行效率、保证航班准点率提供了参考。     

开式整体叶盘叶片型面数控抛光编程与工艺实验研究

针对开式整体叶盘叶片型面数控抛光,首先介绍多坐标数控抛光机,然后提出分段直纹面拟合叶片型面,并利用分段直纹面的偏置面直母线生成刀位轨迹,最后进行了数控抛光参数优化实验,实现了整体叶盘叶片的自动化高效精密抛光,提高了整体叶盘的表面质量.     

计算机网络路径选择信息规程的实现

本文从路径选择信息规程中的不足入手，构造一系列解决策略，从而使路径的选择达到最优。     

行星车视觉导航与自主控制进展与展望

以视觉为主的行星车自主地形感知、导航、规划与控制系统是其安全高效探测的重要保障。本文通过对已成功开展和计划中的系列行星车任务导航与控制系统进行汇总，重点梳理了行星车多源地形感知、自主全局和局部导航、自主路径规划与控制等若干关键问题的进展情况，展望了未来自主化、智能化的发展趋势，并结合任务需求构建了行星车视觉导航与自主控制研究框架设想。     

Control of a Spherical Robot: Path Following Based on Nonholonomic Kinematics and Dynamics

This paper presents the controller design for the path following of a spherical mobile robot,BHQ-1.Firstly,a desired velocity for the reference path is deduced from the kinematic model,which cannot be transformed into the classic chained form.Secondly,a necessary torque for the desired velocity is obtained based on the dynamic model.As to the kinematics,a one-dimensional function is selected to measure the two-directional tracking error,and the velocity of rolling forward is reasonably assumed to be constant;therefore the multiple-input multiple-output (MIMO) system is transformed into a single-input single-output (SISO) system.As to the dynamics,both exact dynamics and inexact dynamics with modeling error as well as bounded unknown disturbance are taken into account,based on which a proportional-derivative (PD) controller and a sliding mode controller with adaptive parameters are proposed respectively.Finally,convergence analysis and simulation results are provided to validate these controllers.     

基于预测校正积分法的飞行轨迹再现

根据DFDR记录的飞行数据再现飞行过程。对飞行事故分析和提高飞行员的飞行技能都具有重要意义。给出根据DFDR记录数据运用预测校正法积分计算飞行轨迹和其他飞行参数，实现飞行过程再现的一种简单算法．并给出使用Matlab进行计算和绘图的算例计算结果，证明该算法简便有效。