动态帧长ALOHA信令在集群移动通信中的应用

本文介绍了在集群动通信中，运用动态帧长ＡＬＯＨＡ信令技术解决信道共用中停产碰撞问题的原理，并具体介绍了ＭＰＴ－１３２７协议的接续原理，特点，信息格式及呼吊建立过程和举例，文中还对动态帧长的算法作了简介。     

区间动力系统稳定性分析的最新进展

综述了区间力系统稳定性,广义区间动力系统正则、无脉冲膜、稳定性方面的近期结果,并对其中一些结论所使用的工具及方法进行了总结.     

互补问题中Gauss-Newton方法全局收敛性的推广(英文)

研究了由Subramamian为求解互补问题提出的阻尼Gauss-Newton方法的收敛性质，在较弱的条件下，给出了一个全局收敛效果，这个结果是Subramanian PK (1993)和（1997）中相应结果的一个推广。     

大众健美操的"应赛"训练

本文试就大众健美操短期集训这种常见的“应赛”现象，探讨教练员在训练前应把握要素和训练中应遵循的原则。     

分散控制系统稳定化的新方法

本文从实际考虑提出了一种使分散控制系统稳定的新方法。这是一种最优的稳定方法。它不仅使反馈控制器的结构具有站间的通讯费用最低的特点，而且也使控制结构有最少的通道数。数值计算的例子表明了本文所提方法的正确性和可操作性。     

Modeling and Control of Active Suspensions for MDOF Vehicle

The conventional method for analyzing active suspension control for a vehicle is only to analyze a quarter or half car with a lower order degree-of-freedom (DOF) model, but such models do not actually model practical applications. Accurate models of a suspension control system require a multi-degree-of-freedom (MDOF) vehicle model with a detailed model of the controller. An MDOF model was developed including the influence of factors such as the engine, the seats, and the passengers to describe vehicle motion using a reduced order model of the controller designed by using the H∞ control method. The control system performance has been investigated by comparing the H∞controller with a linear quadratic (LQ) controller.     

煤炭销售调运结算查询系统的实现

针对我国煤炭销售管理的现状，基于计算机网络技术，提出了一种高效、科学、可靠的现代化销售管理方案，利用其提供的强大的查询功能和方便的操作界面，可以彻底改变传统的手工操作方式，实现销售管理的现代化。介绍了由合同签订、铁路调运、财务结算和综合信息查询组成的销售管理系统方案的功能、设计目标、数据流程和软件实现方法。     

二阶系统性能参数的研究

系统地总结了二阶系统动力学方程、传递函数、状态方程、时间响应及各种性能指标，并对其进行了详细的讨论，同时揭示了各种方法之间的内在联系及应用中注意的问题。     

反证法在高等数学中的应用举例

通过例题，详细论述了反证法在高等数学中的应用。     

Accurate forecasting of the undecided population in a public opinion poll

The problem of pollsters is addressed which is to forecast accurately the final answers of the undecided respondents to the primary question in a public opinion poll. The task is viewed as a pattern‐recognition problem of correlating the answers of the respondents to the peripheral questions in the survey with their primary answers. The underlying pattern is determined with a supervised artificial neural network that is trained using the peripheral answers of the decided respondents whose primary answers are also known. With peripheral answers as inputs, the trained network outputs the most probable primary response of an undecided respondent. For a poll conducted to determine the approval rating of the (former) Philippine president, J. E. Estrada in December 1999 and March 2000, the trained network predicted with a 95% success rate the direct responses of a test population that consists of 24.57% of the decided population who were excluded in the network training set. For the undecided population (22.67% of December respondents; 23.67% of March respondents), the network predicted a final response distribution that is consistent with the approval/disapproval ratio of the decided population. Copyright © 2002 John Wiley & Sons, Ltd.