Extrapolation of fuzzy values from incomplete data bases

This paper presents different approaches which enable a data base management system to obtain a plausible fuzzy estimate for an attribute value of an item for which the information is not explicitly stored in the data base. This can be made either by a kind of analogical reasoning from information about particular items or by means of expert rules which specify the (fuzzy) sets of possible values of the attribute under consideration, for various classes of items. Another kind of expert rules enables the system to compute an estimate from the attribute value of another item provided that, in other respects, this latter item sufficiently resembles the item, the value of which we are interested in; then these expert rules are used either for controlling the analogical reasoning process or for enlarging the scope of application of the first kind of expert rules. The different approaches are discussed in the framework of possibility theory.     

三峡地下电站变顶高尾水洞水动力特性

在国内首次应用模型水轮发电机组对三峡地下电站变顶高尾水洞方案进行水力过渡过程试验研究。对水轮机导叶实行分段关闭 ,并求出了二段关闭的最佳拐点 ,试验证实了二段关闭对减小尾水管进口的负压和机组转速上升有明显的作用。通过有关水力参数的测试 ,认为变顶高尾水洞可以满足各项技术要求 ,是一个减少山体开挖、节省投资的新型设计方案。在地下电站中具有广泛的应用前景     

复合材料超声波直线电机的运动控制

针对复合材料超声直线电机振动体具有两个固有频率的特点，设计了具有频率跟踪特性的超声直线电机驱动器，利用激励信号频率变化改变电机运动方向，实现了超声直线电机的运动控制。     

用面向对象方法建立人事信息系统

应用先进的面向对象设计方法开发了技术中心人事信息系统，采用E－R数据库建立了数据库逻辑模型，通过VFP语言设计了友好直观的用户使用界面。实践表明，新开发的人事信息系统速度快、容量大，操作性强，对实现信息管理标准化，尤其是人力资源的动态管理和科学决策具有很强的实用性。     

LQG/H∞控制设计:动态反馈控制

本文讨论了综合LQG与H∞优化的控制器设计问题.这个反馈控制器是在满足某个给 定传递函数矩阵的H∞范数约束条件下,使得系统的给定的二次性能指标达到最小的控制器.     

采用BP神经网络记忆模糊规则的控制

本文提供了一种比模糊推理更为自然的方式使用人们的经验知识,通过一组神经元不同 程度的兴奋表达一个抽象的概念值,由此将抽象的经验规则转化成多层神经网络的输入一输 出样本.通过Back-Propagation学习算法使得网络记忆这些样本.控制器以"联想记忆"方 式使用这些经验.本文介绍了控制器的构造方法,给出了控制仿真结果,并讨论了这种控制器 的特点和发展前途.     

化工软测量技术研究进展

详细说明了软测量技术的含义以及软测量系统的组成。在此基础上，介绍了软测量技术中基于机理分析建模、应用状态观测器建模、应用统计分析建模、神经元网络、模糊技术、以及支持向量机的智能建模等软测量建模理论方法和最新研究成果，之后介绍了小波分析、推断控制算法在软测量数据处理中的应用，最后介绍了基于虚拟仪器开发平台的软测量系统实现技术。     

Semiparametric Estimation in Time‐Series Regression with Long‐Range Dependence

Abstract. We consider semiparametric estimation in time‐series regression in the presence of long‐range dependence in both the errors and the stochastic regressors. A central limit theorem is established for a class of semiparametric frequency domain‐weighted least squares estimates, which includes both narrow‐band ordinary least squares and narrow‐band generalized least squares as special cases. The estimates are semiparametric in the sense that focus is on the neighbourhood of the origin, and only periodogram ordinates in a degenerating band around the origin are used. This setting differs from earlier studies on time‐series regression with long‐range dependence, where a fully parametric approach has been employed. The generalized least squares estimate is infeasible when the degree of long‐range dependence is unknown and must be estimated in an initial step. In that case, we show that a feasible estimate which has the same asymptotic properties as the infeasible estimate, exists. By Monte Carlo simulation, we evaluate the finite‐sample performance of the generalized least squares estimate and the feasible estimate.     

线性二次型最优控制闭环系统极点的必要条件

本文推导了线性二次型（LQ）最优控制闭环系统极点应满足的必要条件，以及与加权阵Q和R的等式关系