A Novel Iterative Receiver Based on Extrinsic Information Update for MIMO Systems

A novel iterative receiver for multiple input multiple output (MIMO) systems was introduced. Its basis concept is that the reliability of extrinsic information will be strengthened with continuous iterations. Extrinsic information of present iteration is added with prior information of last iteration to obtain performance gain. The simulation results show that the improved iterative receiver can approach the 5th iteration performance of conventional soft interference cancellation (SIC)-minimum mean square error (MMSE) iterative receiver after the 2nd iteration with less computational complexity. Compared with conventional iterative receiver, the improved iterative receiver has 1dB performance gain at bit error rate (BER) of 10~ -5 , with four transmit antennas and four receive antennas system.     

基于改进Wilson-θ法的流固耦合迭代算法

在传统的Wilson-θ法的基础上，对Wilson-θ法进行了改进并分析其稳定性，基于改进的Wilson-θ法给出了求解动力耦合方程的迭代算法，该算法能方便地用以求解坝库系统的动力耦合反应。计算实例表明，本文中的迭代算法是可行的，并且比已有的算法有更高的计算效率。     

Optimal structural design of complicated mechanical products based on data mining

Complicated mechanical products normally consist of multi-parameter mechanisms. The couplings between two tmechanisms are either strong or weak. The traditional optimal design methods cannot meet the requirements of optimal structural design of the complicated multi-parameter mechanical products. On the basis of analyzing the optimal design methods and the data mining principles, an improved iterative dichotomizer 3 (ID₃) algorithm is hereby put forth to bring out an optimal design information model integrated with the data mining technology as well as an optimal structural design system of complicated mechanical products based on the data mining principles. The system is demonstrated by the optimal structural design of the mainframe of the full face rock tunnel boring machine (TBM). An example shows that the data mining technology has fully tackled the issues of the optimal structural design of complicated mechanical products.     

由路段交通量推算OD出行量方法研究：—基于多路径概率分配模型的迭代反推法

在改进有效路段和有效路径定义的基础上,采用随机－最路多路径分配模型,求解分配率矩阵,建立了多路径分配模型的迭代反推方法,并采用假设论证法检验了方法系统的可靠性,合理性,讨论了影响行出量推算结果的主要因素,获得了因变于分配率矩阵的两个重要结论。     

桥架定型弯通满足电力电缆合规敷设相关参数研究

桥架定型弯通是整个电缆桥架系统中为电缆规范敷设提供通道的薄弱环节,规范对电缆弯曲半径有明确要求。本文基于相关规范依据,结合桥架定型弯通中最典型的水平定型弯通和垂直定型弯通,研究各种电缆敷设情况下桥架定型弯通的相关参数和电缆合规敷设之间的影响关系,利用迭代分析法建立了能计算出满足合规敷设的桥架定型弯通最小弯曲宽度值的数学模型,并给出了适用于实际工程应用的计算解决方案。     

结合实际锚固构造的大跨斜拉桥索形计算方法

大跨度斜拉桥设计中,斜拉索精确状态的计算是一步重要的计算环节,但求解不易。为解决这一问题,以悬链线解析法为基础,综合考虑索梁锚固构造和索塔锚固构造的影响,提出在斜拉索张拉力、斜拉索规格已知时精确求解斜拉索线形、无应力长度的迭代计算方法,并以一个算例演示计算过程。提出的斜拉索索形计算方法理论上可求得斜拉索索形的精确解,设计者也可根据实际需要设置迭代终止条件控制计算精度;通过算例可知采用本方法计算迭代收敛速度快,计算效率高;在实际工程中,可用于合理成桥状态或某一施工阶段的斜拉索索形求解。     

Multi-agent system with iterative auction mechanism for master bay plan problem in marine logistics

The support of containerization to trade development demands an efficient solution method for the container loading problem in order to reduce shipment and handling time. Hence, the stowage planning of containers is critical to provide speedy delivery of resources from the area of supply to the area of demand. Moreover, information on container terminal activities, structure of ship, and characteristics of containers is distributed among stowage planners. This information imposes constraints, and so the master bay plan problem (MBPP) becomes NP-hard. Therefore, a multi-agent systems (MAS) methodology is designed to effectively communicate the information and solve the MBPP sustainably. In the designed MAS methodology, an information exchange system (IES) is created for stowage planners to bid for ship slots in each experimental iterative combinatorial auction (ICA) market. The winner in the ICA experiments is provided with the ship slots, and the entire bay plan is prepared. Further, the ship-turnaround time is validated using the data obtained from the benchmark problem.     

基于自适应迭代学习控制的工作艇收放装置主动减摆策略研究

工作艇收放装置主要用于完成快速、安全地将舰船上的小艇及人员移至水面,或安全回收工作艇至舰船上等海上任务。针对这一典型的欠驱动机械系统,采用拉格朗日方程的方法建立其动力学模型。根据舰船在海上的实际运动情况,对系统的二维动力学模型进行描述,分析小艇摇摆的二维平面摆角,研究其在船体运动影响下的变化情况。然后在上述非线性动力学模型的基础上,针对系统的摆动部分,为其设计自适应迭代控制闭环控制器,达到消摆的目的。最后,仿真结果证明了此控制方法的有效性。     

Iterative Learning Based Adaptive Traffic Signal Control

Iterative learning control (ILC), as a branch of data-driven control, has obtained plentiful achievements both in theoretical research and practical application over the past two decades. Taking the traffic signal control system as a plant system, the paper introduces the idea of the ILC and fuzzy logic to design an adaptive data-driven traffic signal controller to improve the capacity of the intersection. The key rule of the signal control logic is described by fuzzy iterative theory, and the control strategy can adapt itself to the changing of traffic flow by iterative learning and handle the uncertainty and randomness in traffic system by fuzzy logic, so as to avoid the modeling of complex transport system and take advantages of data-driven on non-model control. Finally, the proposed method is testified to be applicable and effective based on the simulation results by VISSIM. The simulation result indicates that the effect of the proposed method is more effective than the fixed and actuated control approaches.     

非高斯噪声下基于EM迭代算法的多用户检测分析

在进行信号传输时,由于各种干扰的存在,不可避免地产生误码（也称缺失信号）,而EM算法是近些年来常用的求解缺失数据时的迭代算法,由于EM算法简单易行性与普遍适用性的特点,提出了基于EM迭代算法的多用户检测方法,仿真环境放在非高斯噪声下,对在两种非高斯噪声与高斯噪声下的EM算法的性能与收敛特性做一比较分析,实验结果显示在非高斯噪声下误码性能较差,但是收敛性变化不大具有鲁棒性。