装配型拉动生产系统离散事件模型及扰动分析

以柔性联接装配型拉动生产系统为对象,应用极大代数法,建立了柔性联接装配型拉动生产系统的离散事件模型;并进行了系统有限扰动分析,扰动分析证明装配型拉动生产系统能有效降低库存．     

冷连轧过程线性化动态模型的研究

以多机架四辊冷连轧机为背景,研究了冷连忆过程的动态模型,建立了冷连轧过程的工作点线性化状态空间模型,实验仿真结果说明了这一动态模型的有效性。     

General and efficient parallel approach of finite element-boundary integral-multilevel fast multipole algorithm

A general and efficient parallel approach is proposed for the first time to parallelize the hybrid finiteelement-boundary-integral-multi-level fast multipole algorithm （FE-BI-MLFMA）. Among many algorithms of FE-BI-MLFMA, the decomposition algorithm （DA） is chosen as a basis for the parallelization of FE-BI-MLFMA because of its distinct numerical characteristics suitable for parallelization. On the basis of the DA, the parallelization of FE-BI-MLFMA is carried out by employing the parallelized multi-frontal method for the matrix from the finiteelement method and the parallelized MLFMA for the matrix from the boundary integral method respectively. The programming and numerical experiments of the proposed parallel approach are carried out in the high perfor- mance computing platform CEMS-Liuhui. Numerical experiments demonstrate that FE-BI-MLFMA is efficiently parallelized and its computational capacity is greatly improved without losing accuracy, efficiency, and generality.     

Adaptive SPC monitoring scheme for DOE-based APC

Automatic process control （APC） based on design of experiment （DOE） is a cost-efficient approach for variation reduction. The process changes both in mean and variance owing to online parameter adjustment make it hard to apply traditional SPC charts in such DOE-based APC applied process. An adaptive SPC scheme is developed, which can better track the process transitions and achieve the possible SPC run cost reduction when the process is stable. The control law of SPC parameters is designed by fully utilizing the estimation properties of the process model instead of traditionally using the data collected from the production line. An example is provided to illustrate the proposed adaptive SPC design approach.     

一种新型UUV半实物仿真系统设计与实现

针对UUV导航与控制系统高精度仿真的需要,设计了一种支持捷联惯导、多普勒测速仪、深度传感器和GPS接收机接入的半实物仿真系统,解决了GPS卫星导航信号仿真、多普勒测速仪水声回波模拟和UUV深浅水航行深度模拟问题,进行了导航与控制系统的半实物仿真试验,分别测试了GPS导航仿真子系统、多普勒测速仿真子系统和深度模拟子系统。试验结果表明,该仿真系统满足了仿真实时性和计算精度的要求,对于UUV研制具有重要的应用价值。

Abstract：

To satisfy the requirement of high accuracy simulation of complicated navigation and control system of unmanned underwater vehicle, a new plan of simulation system was proposed, which afforded the interface environment for SINS, Doppler velocity instrument, depth sensor and GPS receiver. The GPS satellite navigation signal simulation, the acoustic echo of Doppler velocity instrument and the sailing depth simulation were solved. The simulation experimentation combining hardware was processed, and the GPS simulation subsystem, the Doppler velocity simulation subsystem and the sailing depth simulation subsystem were all tested. The results show that the simulation system meets the real-time and accuracy requirements, and the system has important application value for UUV development.     

我国证券市场混沌的判据

本文通过李雅普诺夫指数和吸引子的分数维这两个指数来研究我国证券市场的混沌特征。利用Ｗｏｌｆ提出的重构相空间技术和Ｇ－Ｐ算法分别计算了上证综指日收益率序列的李雅普诺夫指数和吸引子的分数维。从而得出我国证券市场运行于混沌状态的有力证据。     

一种高分辨率谱估计与数据外推的快速算法

利用信号频谱幅度分布的先验信息,对短时数据序列信号提出了一种实现高分辨率谱估计和数据序列外推的快速算法。该算法利用了算子矩阵的特殊结构,采用简单、快速的矩阵求逆算法,使算法的运算量和数据存储容量大幅度下降。给出了算法在高分辨率谱估计及数据序列外推中的应用实例和仿真结果,证实了该算法的优良性能。     

高分辨率雷达二维图像的图像处理与特征提取

首先分析了雷达目标散射信号特征。在此基础上 ,根据MUSIC算法得到的雷达图像特点 ,通过平滑、量化、增强等适当的图像处理方式对F - 16、HY - 2 0 0 0两种飞机缩比模型在阶梯变频雷达上所获取的雷达图像进行处理 ,并形成雷达二维灰度图 ;最后 ,采用图像矩阵描述方示进行雷达图像的特征提取     

基于广义出行成本的出行方案优化

为了使出行成本更加符合出行者的认知规律,运用结构方程建模方法模拟出行成本,个体特征及出行决策之间的影响关系.引入敏感系数调整服务属性在出行成本中的贡献率,利用出行意愿调查数据对敏感系数进行标定.考虑出行者对抵达时刻的选择偏好,假设行程时间服从正态分布条件下,对最佳出发时刻及期望出行成本进行寻优求解,结果表明它取决于期望到达时刻,行程时间的期望值及方差,出行者对早到损失及晚到延误损失时间成本的相对大小.研究成果可为制定个性化及最优化出行决策方案提供依据.     

Optimal bundling and pricing decisions for complementary products in a two-layer supply chain

This article explores bundling and pricing decisions for two complementary products in a two-layer supply chain consisting of a multi-product manufacturer and a retailer. We establish four different pricing models under cases of decentralized decision, while considering different portfolio-bundling strategies of the manufacturer and the retailer. A game-theoretical method is used to characterize the corresponding equilibrium outcomes in each scenario. By further analyzing and comparing the maximum profits of all four possible scenarios, optimal bundling and pricing decisions for the manufacturer and the retailer are obtained, respectively. Model extensions and numerical examples are enriched to highlight the factors affecting optimal decision-making. Finally, valuable and interesting managerial insights are summarized. Results show that the upstream manufacturer always profits more when he sells complementary products separately. However, the optimal bundling decision of the downstream retailer is jointly determined by product complementarity (as a major factor) and the difference of product profitability (as a secondary factor). Market power cannot exert an influence on both optimal bundling decisions, but it can partly affect pricing decisions.