Fuzzy logic for signal prediction in nuclear systems

In this paper, we present a fuzzy logic-based algorithm which allows to build a predictive model of an evolving signal. The if-then rules are inferred from the available input-output data. The errors of the model predictions with respect to the measured plant signals can then be used to detect, in real-time, any deviation of the process due either to a component's failure or to an operator's action. Applications of the approach are presented with respect to a chaotic time series of literature and to the water level in the steam generator of a PWR.     

计算机数控串珠绳锯切割机

采用模糊控制技术、变频传动技术、步进驱动技术研制出计算机数控串珠绳锯切割机.该机使用带闭环的变频传动技术取代传统的伺服传动,切割精度为0.15mm.采用IPC工控机和西门子S7-200PLC为主控机,人机界面好,易于编程.改变生产品种,只需修改数控程序,而不需制做模型,大大节省了投资.     

现代高层建筑全自动控制系统中水位检测、水质监测模糊控制系统开发

文章介绍了现代高层建筑全自动控制系统中，利用主控计算机对检测到的水位信号，监测到的水质信号进行模糊化处理。并通过单片机带动执行机构进行水位调整，以获得节水、节电、节能及保证水质的良好效果。     

电容式两相流层析成象系统仿真研究

以油料在管道中输送为例进行电容层析成象仿真.利用有限元方法对电场建立数学模型,在SGI indigo 2 工作站上,使用AVS可视化软件和反投影算法,对3种典型流态模型反演及显示其流体成份分布的图象.     

矩阵方程 AX=B 的反问题

给出矩阵方程ＡＸ＝Ｂ的反问题具有正定实方阵解的充要条件以及解的一般形式．     

Colour classification by neural networks in graphic arts

This paper presents a hierarchical modular neural network for colour classification in graphic arts, capable of distinguishing among very similar colour classes. The network performs analysis in a rough to fine fashion, and is able to achieve a high average classification speed and a low classification error. In the rough stage of the analysis, clusters of highly overlapping colour classes are detected. Discrimination between such colour classes is performed in the next stage by using additional colour information from the surroundings of the pixel being classified. Committees of networks make decisions in the next stage. Outputs of members of the committees are adaptively fused through the BADD defuzzification strategy or the discrete Choquet fuzzy integral. The structure of the network is automatically established during the training process. Experimental investigations show the capability of the network to distinguish among very similar colour classes that can occur in multicoloured printed pictures. The classification accuracy obtained is sufficient for the network to be used for inspecting the quality of multicoloured prints.     

A Neuro-fuzzy Coding for Processing Incomplete Data: Application to the Classification of Seismic Events

This letter presents a method for modelling and processing incomplete data in connectionist systems. The approach consists in applying a neuro-fuzzy coding to the input data of a neural network. After an introduction to the different kinds of imperfections, we propose a neuro-fuzzy coding in order to take incomplete data into account. We show the efficiency of this coding on the problem of the classification of seismic events. The results show that a neuro-fuzzy coding of the inputs of a neural network increases the performance and classifies incomplete data with little affect on the results.     

异步电机软起动装置的模糊控制器设计研究

介绍了DRQ系列异步电机软起动装置的硬件电路。在此基础上着重讨论了其模糊控制器的设计,探讨了模糊控制器量化因子和比例因子的选择与整定方法,使模糊控制与电流瞬时值采样相配合,达到了良好的控制效果。该方法电流波动小,无电流冲击与振荡现象。     

铅锌烧结过程智能集成优化控制技术

针对复杂的铅锌烧结过程。提出了基于神经网络和模糊专家规则模型的自学习模糊专家控制方法进行状态参数优化，基于神经网络模型的模糊C均值聚类搜索混沌遗传算法进行综合指标参数优化．智能集成优化控制技术具有高效性和实用性，有效地抑制了工况波动，提高了烧结矿产量和质量，取得了较好的工业控制效果．     

基于广义模糊双曲正切模型的自适应控制器

针对一类非线性函数未知的非线性离散系统，提出一种新的基于广义模糊双曲正切模型的参考模型自适应控制器设计方法，并利用Lyapunov稳定性理论证明了该控制器是全局渐近稳定的．仿真例子证明了该方法的有效性．