基于修正的最小均方误差分类算法的移动机器人运动规划

研究了不确定性环境下移动机器人躲避运动轨迹未知的移动障碍物的一种新方法．通过实时最小均方误差估计算法预测每个障碍物的位置及运动轨迹，并利用模式识别中最小均方误差分类器的修正模型计算出机器人的局部避障路径，再运用船舶导航中使用的操纵盘技术来确定每个导航周期中移动机器人的速．度仿真结果表明了该方法的可行性     

一种估测运动目标Time—toCollision的方法

提出了一种直接从图象序列中估测运动目标到被攻击物体的撞击时间的方法，建立了目标运动的象面模型，并设计了一种利用多子区相关跟踪器和最小二乘估计方法估测撞击时间的方案。计算机仿真实验结果证明了该方案的可行性。     

Energy-based robust controller design for flexible spacecraft

This paper presents a class of non-model2based position controllers for a kind of flexible spacecraft. With the controllers, one can achieve not only the closed-loop stability of the original distributed parameter system, but also the asymptotic stability of the truncated system, which is obtained through representing the deflection of the appendage by an arbitrary finite number of flexible modes. The system dynamics are not explicitly involved in the controller design and stability proof. Instead, only a very basic system energy rehtionship of the flexible spacecraft is utilized. The controllers possess several remarkable advantages over the traditional model-based ones. Numerical simulations are carried out on a kind of spacecraft with one flexible appendage and satisfactory results are obtained.     

Using mega-fuzzification and data trend estimation in small data set learning for early FMS scheduling knowledge

Provided with plenty of data (experience), data mining techniques are widely used to extract suitable management skills from the data. Nevertheless, in the early stages of a manufacturing system, only rare data can be obtained, and built scheduling knowledge is usually fragile. Using small data sets, this research's purpose is improving the accuracy of machine learning for flexible manufacturing system (FMS) scheduling. The study develops a data trend estimation technique and combines it with mega-fuzzification and adaptive-network-based fuzzy inference systems (ANFIS). The results of the simulated FMS scheduling problem indicate that learning accuracy can be significantly improved using the proposed method involving a very small data set.     

低层高密度住宅与邻里交往

借鉴国外先进经验,结合国内现阶段实践,探讨低层高密度住宅的发展方向,研究传统居住模式的延续和再生,寻求低层高密度联排住宅的"人性化"设计所带来的居住的亲切舒适性、社区的认同感和聚居力、良好的邻里关系和自然宜人的空间尺度.从叶集经济技术开发区万花园小区规划设计入手,努力创造出尺度宜人、环境优美的多层次人际交往空间.     

BEB冲突分解算法时延性能计算机仿真及分析

利用MATLAB设计计算机程序对阻塞式信道条件下的随机多址接入系统MAC协议中二进制指数后退算法(BEB)进行仿真实验研究，得到了在多种初始条件下系统的冲突分解效率和终端接入时延性能的数值结果，对实验结果进行了总结分析，获得一些有意义的结论．     

基于碰撞算法的冲裁件优化排样系统的开发

把碰撞理论应用在冲裁件优化排样中，通过增加对圆弧分段处理的步骤，采用直接对圆弧计算的方法，减少了计算复杂度。解决了排样件的非直线轮廓线性化所带来的离散精度与计算效率的矛盾。适合用于解决含有圆弧的复杂轮廓的同类零件优化排样。基于此算法作者开发了冲裁件的优化排样系统，自动计算零件间的碰撞距离、冲裁步距和最优排放角度。利用本研究的对头双排法裁料，可以把材料利用率从普通双排的76．6％提高到81．4％。     

汽车防撞雷达系统滤波器的设计

针对调频连续波 (FMCW)汽车防撞雷达实际信号的特点 ,设计了一种用于该汽车防撞雷达有用信号提取的系统滤波器 ,分析了其前级宽带模拟带通滤波器和后级数字信号处理器 (DSP)程控自适应滤波器的设计原理与具体实现 .试验数据表明 ,该系统滤波器可以有效的去除干扰并实现有用信号的精确提取     

A note on productivity gains in flexible robotic cells

Flexible robotic cells combine the capabilities of robotic flow shops with those of flexible manufacturing systems. In an m-machine flexible cell, each part visits each machine in the same order. However, the m operations can be performed in any order, and each machine can be configured to perform any operation. We derive the maximum percentage increase in throughput that can be achieved by changing the assignment of operations to machines and then keeping that assignment constant throughout a lot's processing. We find that no increase can be gained in two-machine cells, and that the gain in three- and four-machine cells each is at most 14 %.