基于神经网络的非线性控制系统自组织辨识

本文首先将自组织神经网络算法向一般化情形引伸，接着把自组织过程应用到一般非线性系统的动态过程分类，使得整个非线性系统能够按照输入输出样本空间的概率密度自组织，成为许多具有不同分类核心和感受野的线性子空间逼近。在此基础上，我们采用通用最小二乘算法，以子空间的非线性问题线性化误差作为依据，并进一步运用自组织神经网络的合作与竞争思想，最终得到一般情形的非线性系统的最小二乘辨识。仿真结果表明了本方法的可行性与优越性。     

一种改进的变步长归一化LMS算法

在以往的基于ＬＭＳ算法的研究中，归一化ＬＭＳ算法（ＮＬＭＳ）增大了算法的动态输入范围，但该算法对噪声很敏感。引入自相关的变步长ＬＭＳ算法（ＶＳＳＬＭＳ）不仅加快了收敛速度，可在非平稳状态下进行快速跟踪，而且消除了独立噪声的干扰，但它无法适应大范围的动态输入。本文综合它们的优点而得到的算法，在低信噪比和大范围的动态输入情况下都有良好的性能。     

分布式软件平台StarBus中接口池的研究与实现

按照ＣＯＲＢＡ标准，阐述了接口池在ＳｔａｒＢｕｓ系统中的作用，介绍了ＳｔａｒＢｕｓ系统中接口池的设计，说明了接口池的内容与结构，实现了ＳｔａｒＢｕｓ系统中的接口池服务，为在ＳｔａｒＢｕｓ系统中实现动态激活提供了保证。     

一种新的选择性漏电故障判别方法及最简电路的实现

分析了小电流接地系统单相漏电故障的特点 ,提出了一种新的选择性漏电判别方法———时序比相法 .在论述该方法的基本原理和特点之后 ,给出了实现这种方法的最简电路 ,介绍了该电路的工作原理 .最后给出了在实验室实验和现场试验基础上作出的结论     

江泽民对马克思主义党建学说的新发展

党的第三代领导核心江泽民在世纪之交、千年更替的新的历史条件下 ,全面继承和创造性地发展了毛泽东邓小平的党建理论 ,为推进党建的伟大工程做出了重大新贡献 :提出了跨世纪党建工程的总目标和总方针 ;进一步确立和发展了党的基本理论、基本路线和基本纲领 ;大力倡导“一个中心”、“三个着眼于”的马克思主义学风 ;坚持不懈地用为人民服务的宗旨教育全党不动摇 ;把提高执政、建设、治国三大本领作为党的建设的重要任务。在加强干部队伍建设、反腐倡廉、党的制度建设、党性党风建设、基层组织建设、思想政治建设和加强“三个代表”的党的全面建设等方面提出了许多新的理论观点 ,实践上也走出了一条新路子 ,对新世纪党的建设具有重要的指导意义。     

磁悬浮列车滑模变结构控制器设计及实现

本文在建立磁悬浮线性模型基础上,设计变结构控制器,进行了仿真计算,并用模拟电路进行实验,给出了仿真和实验结果     

Scheduling stochastic jobs with asymmetric earliness and tardiness penalties

We consider a stochastic counterpart of the well-known earliness-tardiness scheduling problem with a common due date, in which n stochastic jobs are to be processed on a single machine. The processing times of the jobs are independent and normally distributed random variables with known means and known variances that are proportional to the means. The due dates of the jobs are random variables following a common probability distribution. The objective is to minimize the expectation of a weighted combination of the earliness penalty, the tardiness penalty, and the flow-time penalty. One of our main results is that an optimal sequence for the problem must be V-shaped with respect to the mean processing times. Other characterizations of the optimal solution are also established. Two algorithms are proposed, which can generate optimal or near-optimal solutions in pseudopolynomial time. The proposed algorithms are also extended to problems where processing times do not satisfy the assumption in the model above, and are evaluated when processing times follow different probability distributions, including general normal (without the proportional relation between variances and means), uniform, Laplace, and exponential. © 1997 John Wiley & Sons, Inc. Naval Research Logistics 44, 531–557, 1997.     

轴对称静电场不等距多重网格法的研究

研究了不等距多重网格法,可用于区域形状任意和有内电极的实际电子光学系统轴对称电场的计算,特别是对于求解区域大、部分区域电场精度要求高的场合,较好地解决了计算精度与划分网格点数之间的矛盾,可广泛应用于分析设计静电聚焦像管的电子光学系统,以及摄像管电子枪的发射系统等.     

An exact branch‐and‐price algorithm for multitasking scheduling on unrelated parallel machines

We consider the multitasking scheduling problem on unrelated parallel machines to minimize the total weighted completion time. In this problem, each machine processes a set of jobs, while the processing of a selected job on a machine may be interrupted by other available jobs scheduled on the same machine but unfinished. To solve this problem, we propose an exact branch‐and‐price algorithm, where the master problem at each search node is solved by a novel column generation scheme, called in‐out column generation, to maintain the stability of the dual variables. We use a greedy heuristic to obtain a set of initial columns to start the in‐out column generation, and a hybrid strategy combining a genetic algorithm and an exact dynamic programming algorithm to solve the pricing subproblems approximately and exactly, respectively. Using randomly generated data, we conduct numerical studies to evaluate the performance of the proposed solution approach. We also examine the effects of multitasking on the scheduling outcomes, with which the decision maker can justify making investments to adopt or avoid multitasking.     

Social benefits of government investment in enterprises

A critical issue for many governments is boosting the adoption rates of products or technologies that enhance consumer surplus or total social welfare. Governments may, for example, pay subsidies to producers or to consumers to stimulate the manufacture or consumption of specific products, for example, energy-efficient appliances or more effective drugs. This research proposes a strategic government investment policy, namely, share acquisition, and demonstrates its effectiveness in reaching societal objectives. We consider a Cournot quantities-choice market comprised of homogeneous firms where the government intervenes to buy shares, and turning private firms into state-owned enterprises. We recognize that purchasing a single private firm is the optimal policy for the government to reach its societal objectives. Additionally, taking into consideration financial constraints, we find that the optimal stake increases with the budget. Compared with the optimal output-based subsidy policy, when the budget is low, the optimal government investment policy induces a higher consumer surplus. In addition, in differentiated Cournot competition, under which firms compete in selling substitutable products, we find that when the budget is sufficient, the optimal stake purchased first decreases and then increases according to the substitutability level among products.